Lecture 1:...
Transcript of Lecture 1:...
![Page 1: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/1.jpg)
Marvin Zhang 06/20/2016
Lecture 1: Introduction
![Page 2: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/2.jpg)
Welcome to Berkeley Computer Science!
![Page 3: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/3.jpg)
Humans of CS 61A
![Page 4: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/4.jpg)
Humans of CS 61A
2Lecturers
![Page 5: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/5.jpg)
Humans of CS 61A
2Lecturers 12TAs
![Page 6: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/6.jpg)
Humans of CS 61A
2Lecturers 12TAs
13Tutors
![Page 7: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/7.jpg)
Humans of CS 61A
2Lecturers 12TAs
13Tutors
100+Labassistants!
![Page 8: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/8.jpg)
Humans of CS 61A
2Lecturers 12TAs
13Tutors
100+Labassistants!
400+Students!!!
![Page 9: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/9.jpg)
Computer Science in one slide
![Page 10: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/10.jpg)
Computer Science in one slide
• What problems can computers solve?
![Page 11: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/11.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?
![Page 12: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/12.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
![Page 13: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/13.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
![Page 14: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/14.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
![Page 15: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/15.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
![Page 16: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/16.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
Networking
![Page 17: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/17.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
Networking
Theory
![Page 18: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/18.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
Networking
Theory
ComputationalBiology
![Page 19: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/19.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
Networking
Theory
ComputationalBiology
...
![Page 20: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/20.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
Networking
Theory
ComputationalBiology
...
![Page 21: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/21.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
Networking
Theory
ComputationalBiology
...
NaturalLanguageProcessing
![Page 22: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/22.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
Networking
Theory
ComputationalBiology
...
NaturalLanguageProcessing
MachineLearning
![Page 23: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/23.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
Networking
Theory
ComputationalBiology
...
NaturalLanguageProcessing
MachineLearning
ComputerVision
![Page 24: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/24.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
Networking
Theory
ComputationalBiology
...
NaturalLanguageProcessing
MachineLearning
ComputerVision
Planning
![Page 25: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/25.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
Networking
Theory
ComputationalBiology
...
NaturalLanguageProcessing
MachineLearning
ComputerVision
Planning
Robotics
![Page 26: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/26.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
Networking
Theory
ComputationalBiology
...
NaturalLanguageProcessing
MachineLearning
ComputerVision
Planning
Robotics
...
![Page 27: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/27.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
Networking
Theory
ComputationalBiology
...
NaturalLanguageProcessing
MachineLearning
ComputerVision
Planning
Robotics
...
![Page 28: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/28.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
Networking
Theory
ComputationalBiology
...
NaturalLanguageProcessing
MachineLearning
ComputerVision
Planning
Robotics
...
Manipulation
![Page 29: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/29.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
Networking
Theory
ComputationalBiology
...
NaturalLanguageProcessing
MachineLearning
ComputerVision
Planning
Robotics
...
Manipulation
NavigationandLocomotion
![Page 30: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/30.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
Networking
Theory
ComputationalBiology
...
NaturalLanguageProcessing
MachineLearning
ComputerVision
Planning
Robotics
...
Manipulation
NavigationandLocomotion
Perception
![Page 31: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/31.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
Networking
Theory
ComputationalBiology
...
NaturalLanguageProcessing
MachineLearning
ComputerVision
Planning
Robotics
...
Manipulation
NavigationandLocomotion
Perception
Human-RobotInteraction
![Page 32: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/32.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
Networking
Theory
ComputationalBiology
...
NaturalLanguageProcessing
MachineLearning
ComputerVision
Planning
Robotics
...
Manipulation
NavigationandLocomotion
Perception
Human-RobotInteraction
...
![Page 33: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/33.jpg)
Computer Science in one slide
• What problems can computers solve?• How do we get computers to solve these problems?• What are general techniques for problem solving?
Systems
ArtificialIntelligence
Security
Networking
Theory
ComputationalBiology
...
NaturalLanguageProcessing
MachineLearning
ComputerVision
Planning
Robotics
...
Manipulation
NavigationandLocomotion
Perception
Human-RobotInteraction
...
![Page 34: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/34.jpg)
CS 61A in one slide
![Page 35: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/35.jpg)
CS 61A in one slide
• High-level ideas in computer science:
![Page 36: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/36.jpg)
CS 61A in one slide
• High-level ideas in computer science:• Abstraction: manage complexity
by hiding the details
![Page 37: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/37.jpg)
CS 61A in one slide
• High-level ideas in computer science:• Abstraction: manage complexity
by hiding the details• Paradigms: utilize different
approaches to programming
![Page 38: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/38.jpg)
CS 61A in one slide
• High-level ideas in computer science:• Abstraction: manage complexity
by hiding the details• Paradigms: utilize different
approaches to programming
![Page 39: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/39.jpg)
CS 61A in one slide
• High-level ideas in computer science:• Abstraction: manage complexity
by hiding the details• Paradigms: utilize different
approaches to programming
![Page 40: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/40.jpg)
CS 61A in one slide
• High-level ideas in computer science:• Abstraction: manage complexity
by hiding the details• Paradigms: utilize different
approaches to programming
• Master these ideas through implementation:
![Page 41: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/41.jpg)
CS 61A in one slide
• High-level ideas in computer science:• Abstraction: manage complexity
by hiding the details• Paradigms: utilize different
approaches to programming
• Master these ideas through implementation:• Learn the Python programming language (& others)
![Page 42: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/42.jpg)
CS 61A in one slide
• High-level ideas in computer science:• Abstraction: manage complexity
by hiding the details• Paradigms: utilize different
approaches to programming
• Master these ideas through implementation:• Learn the Python programming language (& others)• Complete large programming assignments
![Page 43: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/43.jpg)
CS 61A in one slide
• High-level ideas in computer science:• Abstraction: manage complexity
by hiding the details• Paradigms: utilize different
approaches to programming
• Master these ideas through implementation:• Learn the Python programming language (& others)• Complete large programming assignments
• A challenging course that will demand a lot from you
![Page 44: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/44.jpg)
Alternatives to CS 61A
![Page 46: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/46.jpg)
Alternatives to CS 61A
CS10:TheBeautyandJoyofComputingcs10.org
DataScience8:FoundationsofDataSciencedata8.org
Offeredthissummer!
![Page 48: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/48.jpg)
Course overview
![Page 50: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/50.jpg)
Course overview
• Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB• Labs: the most important part of this course
![Page 51: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/51.jpg)
Course overview
• Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB• Labs: the most important part of this course• Discussions: the most important part of this course
![Page 52: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/52.jpg)
Course overview
• Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB• Labs: the most important part of this course• Discussions: the most important part of this course• Office hours: the most important part of this course
![Page 53: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/53.jpg)
Course overview
• Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB• Labs: the most important part of this course• Discussions: the most important part of this course• Office hours: the most important part of this course• Online textbook: composingprograms.com
![Page 54: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/54.jpg)
Course overview
• Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB• Labs: the most important part of this course• Discussions: the most important part of this course• Office hours: the most important part of this course• Online textbook: composingprograms.com
• Regular homework assignments
![Page 55: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/55.jpg)
Course overview
• Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB• Labs: the most important part of this course• Discussions: the most important part of this course• Office hours: the most important part of this course• Online textbook: composingprograms.com
• Regular homework assignments• 4 big programming projects
![Page 56: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/56.jpg)
Course overview
• Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB• Labs: the most important part of this course• Discussions: the most important part of this course• Office hours: the most important part of this course• Online textbook: composingprograms.com
• Regular homework assignments• 4 big programming projects• Weekly quizzes, one midterm, and one final exam
![Page 57: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/57.jpg)
Course overview
• Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB• Labs: the most important part of this course• Discussions: the most important part of this course• Office hours: the most important part of this course• Online textbook: composingprograms.com
• Regular homework assignments• 4 big programming projects• Weekly quizzes, one midterm, and one final exam• Lots of special events!
![Page 58: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/58.jpg)
Grading
![Page 59: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/59.jpg)
Total 300 points
Grading
![Page 60: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/60.jpg)
Grading
Assignments 150 points
![Page 61: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/61.jpg)
Grading
Assignments 150 points
Exams 150 points
![Page 62: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/62.jpg)
Grading
Exams 150 points
Homework30points
![Page 63: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/63.jpg)
Grading
Exams 150 points
Homework30points
Lab20points
![Page 64: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/64.jpg)
Grading
Exams 150 points
Homework30points
Lab20points
Projects100points
![Page 65: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/65.jpg)
Grading
Homework30points
Lab20points
Projects100points
Weeklyquizzes40points
![Page 66: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/66.jpg)
Grading
Homework30points
Lab20points
Projects100points
Weeklyquizzes40points
Midterm40points
![Page 67: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/67.jpg)
Grading
Homework30points
Lab20points
Projects100points
Weeklyquizzes40points
Midterm40points
Final70points
![Page 68: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/68.jpg)
A few grading details
![Page 69: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/69.jpg)
A few grading details
• 10 homework assignments, 3 points each
![Page 70: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/70.jpg)
A few grading details
• 10 homework assignments, 3 points each• Can make up points from one homework with surveys
![Page 71: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/71.jpg)
A few grading details
• 10 homework assignments, 3 points each• Can make up points from one homework with surveys
• 12 (graded) lab assignments, 2 points each
![Page 72: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/72.jpg)
A few grading details
• 10 homework assignments, 3 points each• Can make up points from one homework with surveys
• 12 (graded) lab assignments, 2 points each• Two lowest lab scores will be dropped
![Page 73: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/73.jpg)
A few grading details
• 10 homework assignments, 3 points each• Can make up points from one homework with surveys
• 12 (graded) lab assignments, 2 points each• Two lowest lab scores will be dropped
• Written quizzes will be in lecture on Thursdays
![Page 74: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/74.jpg)
A few grading details
• 10 homework assignments, 3 points each• Can make up points from one homework with surveys
• 12 (graded) lab assignments, 2 points each• Two lowest lab scores will be dropped
• Written quizzes will be in lecture on Thursdays• We have sent out instructions for students who cannot attend
Thursday lectures
![Page 75: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/75.jpg)
A few grading details
• 10 homework assignments, 3 points each• Can make up points from one homework with surveys
• 12 (graded) lab assignments, 2 points each• Two lowest lab scores will be dropped
• Written quizzes will be in lecture on Thursdays• We have sent out instructions for students who cannot attend
Thursday lectures• One written or coding quiz score will be dropped
![Page 76: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/76.jpg)
A few grading details
• 10 homework assignments, 3 points each• Can make up points from one homework with surveys
• 12 (graded) lab assignments, 2 points each• Two lowest lab scores will be dropped
• Written quizzes will be in lecture on Thursdays• We have sent out instructions for students who cannot attend
Thursday lectures• One written or coding quiz score will be dropped
• This class is not curved!
![Page 77: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/77.jpg)
A few grading details
• 10 homework assignments, 3 points each• Can make up points from one homework with surveys
• 12 (graded) lab assignments, 2 points each• Two lowest lab scores will be dropped
• Written quizzes will be in lecture on Thursdays• We have sent out instructions for students who cannot attend
Thursday lectures• One written or coding quiz score will be dropped
• This class is not curved!• Collaboration, not competition
![Page 78: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/78.jpg)
The limits of collaboration
![Page 79: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/79.jpg)
The limits of collaboration
• Everyone should give and receive help, because everyone benefits and learns
![Page 80: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/80.jpg)
The limits of collaboration
• Everyone should give and receive help, because everyone benefits and learns
• There is only one rule:
![Page 81: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/81.jpg)
The limits of collaboration
• Everyone should give and receive help, because everyone benefits and learns
• There is only one rule:
• Your code is yours, and yours only.
![Page 82: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/82.jpg)
The limits of collaboration
• Everyone should give and receive help, because everyone benefits and learns
• There is only one rule:
• Your code is yours, and yours only.
• This means that:
![Page 83: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/83.jpg)
The limits of collaboration
• Everyone should give and receive help, because everyone benefits and learns
• There is only one rule:
• Your code is yours, and yours only.
• This means that:• You cannot copy or use code from anyone except your partner
![Page 84: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/84.jpg)
The limits of collaboration
• Everyone should give and receive help, because everyone benefits and learns
• There is only one rule:
• Your code is yours, and yours only.
• This means that:• You cannot copy or use code from anyone except your partner• You cannot share your code with anyone except your partner
![Page 85: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/85.jpg)
The limits of collaboration
• Everyone should give and receive help, because everyone benefits and learns
• There is only one rule:
• Your code is yours, and yours only.
• This means that:• You cannot copy or use code from anyone except your partner• You cannot share your code with anyone except your partner
• Share and discuss ideas, not code
![Page 86: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/86.jpg)
The limits of collaboration
• Everyone should give and receive help, because everyone benefits and learns
• There is only one rule:
• Your code is yours, and yours only.
• This means that:• You cannot copy or use code from anyone except your partner• You cannot share your code with anyone except your partner
• Share and discuss ideas, not code• Build good habits now!
![Page 87: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/87.jpg)
Getting help
![Page 88: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/88.jpg)
Getting help
• Discuss everything in the course, except exams, with your partner and your classmates
![Page 89: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/89.jpg)
Getting help
• Discuss everything in the course, except exams, with your partner and your classmates• Teaching is the best way to learn
![Page 90: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/90.jpg)
Getting help
• Discuss everything in the course, except exams, with your partner and your classmates• Teaching is the best way to learn
• Ask and answer questions on Piazza
![Page 91: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/91.jpg)
Getting help
• Discuss everything in the course, except exams, with your partner and your classmates• Teaching is the best way to learn
• Ask and answer questions on Piazza
• Use the course staff! We’re here to help you learn
![Page 92: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/92.jpg)
Getting help
• Discuss everything in the course, except exams, with your partner and your classmates• Teaching is the best way to learn
• Ask and answer questions on Piazza
• Use the course staff! We’re here to help you learn• Labs and office hours are the perfect time to talk to
the lecturers, TAs, tutors, and lab assistants
![Page 93: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/93.jpg)
Getting help
• Discuss everything in the course, except exams, with your partner and your classmates• Teaching is the best way to learn
• Ask and answer questions on Piazza
• Use the course staff! We’re here to help you learn• Labs and office hours are the perfect time to talk to
the lecturers, TAs, tutors, and lab assistants• Lab assistants will also be available for checkoffs
during labs
![Page 94: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/94.jpg)
A few last thoughts
![Page 96: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/96.jpg)
A few last thoughts
• Find all the course details and news on cs61a.org
• The most important course policy is not:
![Page 97: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/97.jpg)
A few last thoughts
• Find all the course details and news on cs61a.org
• The most important course policy is not:• Grading
![Page 98: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/98.jpg)
A few last thoughts
• Find all the course details and news on cs61a.org
• The most important course policy is not:• Grading
• 75% of students in this course receive As and Bs
![Page 99: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/99.jpg)
A few last thoughts
• Find all the course details and news on cs61a.org
• The most important course policy is not:• Grading
• 75% of students in this course receive As and Bs• There is no curve! All of you can get an A+
![Page 100: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/100.jpg)
A few last thoughts
• Find all the course details and news on cs61a.org
• The most important course policy is not:• Grading
• 75% of students in this course receive As and Bs• There is no curve! All of you can get an A+
• Cheating
![Page 101: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/101.jpg)
A few last thoughts
• Find all the course details and news on cs61a.org
• The most important course policy is not:• Grading
• 75% of students in this course receive As and Bs• There is no curve! All of you can get an A+
• Cheating• There is a community of staff and students that want
you to succeed, and will help you succeed
![Page 102: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/102.jpg)
A few last thoughts
• Find all the course details and news on cs61a.org
• The most important course policy is not:• Grading
• 75% of students in this course receive As and Bs• There is no curve! All of you can get an A+
• Cheating• There is a community of staff and students that want
you to succeed, and will help you succeed
• The most important course policy is learning
![Page 103: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/103.jpg)
A few last thoughts
• Find all the course details and news on cs61a.org
• The most important course policy is not:• Grading
• 75% of students in this course receive As and Bs• There is no curve! All of you can get an A+
• Cheating• There is a community of staff and students that want
you to succeed, and will help you succeed
• The most important course policy is learning• Learn a lot, have fun, and welcome to 61A!
![Page 104: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/104.jpg)
And, conveniently, an introduction to Python
An Introduction to Programming
![Page 105: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/105.jpg)
Course organization
![Page 106: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/106.jpg)
• Every week will center around a theme, and have a specific set of goals.
Course organization
![Page 107: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/107.jpg)
• Every week will center around a theme, and have a specific set of goals.
Course organization
Introduction
![Page 108: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/108.jpg)
• Every week will center around a theme, and have a specific set of goals.
Course organization
Introduction Functions
![Page 109: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/109.jpg)
• Every week will center around a theme, and have a specific set of goals.
Course organization
Introduction Functions Data
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• Every week will center around a theme, and have a specific set of goals.
Course organization
Introduction Functions Data Mutability
![Page 111: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/111.jpg)
• Every week will center around a theme, and have a specific set of goals.
Course organization
Introduction Functions Data Mutability
Objects
![Page 112: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/112.jpg)
• Every week will center around a theme, and have a specific set of goals.
Course organization
Introduction Functions Data Mutability
Objects Interpretation
![Page 113: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/113.jpg)
• Every week will center around a theme, and have a specific set of goals.
Course organization
Introduction Functions Data Mutability
Objects Interpretation Paradigms
![Page 114: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/114.jpg)
• Every week will center around a theme, and have a specific set of goals.
Course organization
Introduction Functions Data Mutability
Objects Interpretation Paradigms Applications
![Page 115: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/115.jpg)
• Every week will center around a theme, and have a specific set of goals.
• This week (Introduction), the goals are:
Course organization
Introduction Functions Data Mutability
Objects Interpretation Paradigms Applications
![Page 116: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/116.jpg)
• Every week will center around a theme, and have a specific set of goals.
• This week (Introduction), the goals are:• To learn the fundamentals of programming
Course organization
Introduction Functions Data Mutability
Objects Interpretation Paradigms Applications
![Page 117: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/117.jpg)
• Every week will center around a theme, and have a specific set of goals.
• This week (Introduction), the goals are:• To learn the fundamentals of programming• To become comfortable with Python
Course organization
Introduction Functions Data Mutability
Objects Interpretation Paradigms Applications
![Page 118: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/118.jpg)
What’s in a program?
![Page 119: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/119.jpg)
What’s in a program?
• Programs work by manipulating values
![Page 120: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/120.jpg)
What’s in a program?
• Programs work by manipulating values
• Expressions in programs evaluate to values
![Page 121: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/121.jpg)
What’s in a program?
• Programs work by manipulating values
• Expressions in programs evaluate to values• Primitive expressions evaluate directly to values with
minimal work needed
![Page 122: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/122.jpg)
What’s in a program?
• Programs work by manipulating values
• Expressions in programs evaluate to values• Primitive expressions evaluate directly to values with
minimal work needed
• Operators combine primitives expressions into more complex expressions
![Page 123: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/123.jpg)
What’s in a program?
• Programs work by manipulating values
• Expressions in programs evaluate to values• Primitive expressions evaluate directly to values with
minimal work needed
• Operators combine primitives expressions into more complex expressions
• The Python interpreter evaluates expressions and displays their values
![Page 124: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/124.jpg)
What’s in a program?
• Programs work by manipulating values
• Expressions in programs evaluate to values• Primitive expressions evaluate directly to values with
minimal work needed
• Operators combine primitives expressions into more complex expressions
• The Python interpreter evaluates expressions and displays their values
(demo)
![Page 125: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/125.jpg)
Mathematical expressions
![Page 126: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/126.jpg)
Mathematical expressions
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Mathematical expressions
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Mathematical expressions
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Mathematical expressions
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Mathematical expressions
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Mathematical expressions
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Mathematical expressions
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Mathematical expressions
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Mathematical expressions
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Mathematical expressions
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Mathematical expressions
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Mathematical expressions
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Mathematical expressions
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Mathematical expressions (demo)
![Page 140: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/140.jpg)
Call expressions
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Call expressions
add ( 2 , 3 )
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Call expressions
add ( 2 , 3 )operator
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Call expressions
add ( 2 , 3 )operator operands
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Call expressions
• In a call expression, the operator and operands themselves are expressions
add ( 2 , 3 )operator operands
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Call expressions
• In a call expression, the operator and operands themselves are expressions
• To evaluate this call expression:
add ( 2 , 3 )operator operands
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Call expressions
• In a call expression, the operator and operands themselves are expressions
• To evaluate this call expression:
1. Evaluate the operator to get a function
add ( 2 , 3 )operator operands
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Call expressions
• In a call expression, the operator and operands themselves are expressions
• To evaluate this call expression:
1. Evaluate the operator to get a function
2. Evaluate the operands to get its values
add ( 2 , 3 )operator operands
![Page 148: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/148.jpg)
Call expressions
• In a call expression, the operator and operands themselves are expressions
• To evaluate this call expression:
1. Evaluate the operator to get a function
2. Evaluate the operands to get its values
3. Apply the function to the values of the operands to get the final value
add ( 2 , 3 )operator operands
![Page 149: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/149.jpg)
Nested call expressions
![Page 150: Lecture 1: Introductioninst.eecs.berkeley.edu/~cs61a/su16/assets/slides/01-Introduction_full.pdfCourse overview • Lectures: Mon-Thurs, 11am-12:30pm, 2050 VLSB • Labs: the most](https://reader030.fdocuments.net/reader030/viewer/2022040608/5ec4e9ea2d6ea64d964e07bb/html5/thumbnails/150.jpg)
Nested call expressions
add(add(2, mul(4, 6)), mul(3, 5))
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Nested call expressions
• What does this call expression evaluate to?
add(add(2, mul(4, 6)), mul(3, 5))
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Nested call expressions
• What does this call expression evaluate to?
• What are the steps that the Python interpreter goes through to evaluate this expression?
add(add(2, mul(4, 6)), mul(3, 5))
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Shakespeare demo!
The Power of Python