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123 Main Street
City, State
Phone: 555.555.5555
E-mail: [email protected]
W o rk E x pe r i e n ce
2 0 13 -P r e s e n t , F o u n de r
R a p m ixx x
F o u n d e r o f b u s i ne s s t ha t m i xe s s o n g s f o r h i p - h o p a r t i s t s .
E du ca t i o n
2013-2017, BS Computer Science, Rice University
Relevant Courses
COMP 215 - Gained additional experience in principles of programming and
program design including: encapsulation, abstraction,
test-driven development, and functional and object-oriented programming with the
Java programming language.
COMP 140 - Solved real-world problems in audio, video and text processing,
physical robotics, control and simulation of complex
systems in nature, and swarm intelligence. Modeled computational artifacts
operating in the world; designed algorithmic
solutions in Python. Experimentally tested and evaluated performance of
computational systems.
MATH 208 - Learned about many topics of discrete mathematics including symbolic
logic, set theory, relations, functions, proofs by
induction, recurrence relations, and counting techniques.
CS 2410 - Learned about arrays, classes and data abstraction, object-oriented
software development, pointers, dynamic data
structures, linked structures, elementary and searching and sorting algorithms,
recursion, and algorithm complexity
analysis in C++.
ELEC 220 - This course provides an overview of fundamental topics in computer
engineering, including bits, CMOS logic, computer
arithmetic, state machines, instruction-sets, assembly language, linkage conventions,
storage hierarchies, interrupts,
I/O, and systems issues. Did work in C and assembly.
John Doe
Wo r k E x p e r i e nc e / P ro j e c t s
B u s i n e s s Na m e
Fo u nd e r o f b u s i n e s s
2 0 1 3 -
M u s i c S t r e a m er ( J a v a , An dr o id a pp l i c a t i on )
60% c o mp l e t e
Sc r e e n s ho t s :
S e a r c h E n g i n e ( J a v a )
90% c o mp l e t e
Us e d R E GE X , jU n i t , a nd im p l e me nt ed L DA t o c o mp l e t e
T i c T a c T o e (C ++ )
50% c o mp l e t e , bu t f u n c t i o na l
L ink :
E d u c a t i o n
University U, Computer Science
2013-2017
Relevant Courses:
Course (Languages/Technologies used)
Comp Engineering (C, Assembly) - Description
Intro to Computer Science (Java) - Description
Algorithms & Data Structures (Java) - Description
Software Engineering (Python) - Description
Computer Systems (C, UNIX, SVN)- Description
Parallel Computing (Java, SVN) - Description
(School
Logo)