B GIO DC V O TO TRNG I HC BCH KHOA H NI

CHNG TRNH O TO TIN S

CHUYN NGNH H THNG THNG TIN

M S: 62480104

c Hi ng Xy dng Chng trnh o to bc Tin s thng qua ngy ....... thng 06 nm 2012

H NI 2012

MC LC

Trang

PHN I TNG QUAN V CHNG TRNH O TO 3 1 Mc tiu o to 4 1.1 Mc tiu chung 4 1.2 Mc tiu c th 4 2 Thi gian o to 4 3 Khi lng kin thc 5 4 i tng tuyn sinh 5 4.1 nh ngha 5 4.2 Phn loi i tng ngnh 5 5 Quy trnh o to, iu kin cng nhn t 6 6 Thang im 6 7 Ni dung chng trnh 6 7.1 Cu trc 6 7.2 Hc phn b sung 7 7.3 Hc phn Tin s 8 7.3.1 Danh mc hc phn Tin s 8 7.3.2 M t tm tt hc phn Tin s 8 7.3.3 K hoch hc tp cc hc phn Tin s 9 7.4 Chuyn Tin s 9 8 Danh sch Tp ch / Hi ngh Khoa hc 9

PHN II CNG CHI TIT CC HC PHN 10 9 Danh mc hc phn chi tit ca chng trnh o to 11 9.1 Danh mc hc phn b sung 11 9.2 Danh mc hc phn Tin s 11 10 cng chi tit cc hc phn Tin s 11

PHN I

TNG QUAN V CHNG TRNH O TO

TRNG I HC BCH KHOA H NI VIN CNTT V TRUYN THNG

CNG HA X HI CH NGHA VIT NAM c lp - T do - Hnh phc

CHNG TRNH O TO TIN S CHUYN NGNH H THNG THNG TIN

Tn chng trnh: Chng trnh o to Tin s chuyn ngnh H thng thng tin Trnh o to: Tin s Chuyn ngnh o to: H thng thng tin Information Systems M chuyn ngnh: 62480104

(Ban hnh theo Quyt nh s ......... / Q-HBK-SH ngy ....... thng ....... nm ........... ca Hiu trng trng H Bch Khoa H Ni)

1 Mc tiu o to 1.1 Mc tiu chung o to Tin s chuyn ngnh H thng thng tin c trnh chuyn mn su cao, c kh nng nghin cu v lnh o nhm nghin cu cc lnh vc ca chuyn ngnh, c t duy khoa hc, c kh nng tip cn v gii quyt cc vn khoa hc chuyn ngnh, c kh nng trnh by - gii thiu cc ni dung khoa hc, ng thi c kh nng o to cc bc i hc v Cao hc.

1.2 Mc tiu c th Sau khi kt thc thnh cng chng trnh o to, Tin s chuyn ngnh H thng thng tin: C kh nng pht hin v trc tip gii quyt cc vn khoa hc thuc cc lnh vc H thng thng tin ni ring v Khoa hc my tnh ni chung.

C kh nng dn dt, lnh o nhm nghin cu thuc cc lnh vc H thng thng tin, Khoa hc my tnh. C kh nng nghin cu, xut v p dng cc gii php cng ngh thuc cc lnh vc ni trn trong thc tin.

C kh nng cao trnh by, gii thiu (bng cc hnh thc bi vit, bo co hi ngh, ging dy i hc v sau i hc) cc vn khoa hc thuc hai lnh vc ni trn. 2 Thi gian o to

H tp trung lin tc: 3 nm lin tc i vi NCS c bng ThS, 4 nm i vi NCS c bng H.

H khng tp trung lin tc: NCS c vn bng ThS ng k thc hin trong vng 4 nm m bo tng thi gian hc tp, nghin cu ti Trng l 3 nm v 12 thng u tin tp trung lin tc ti Trng.

3 Khi lng kin thc Khi lng kin thc bao gm khi lng ca cc hc phn Tin s v khi lng ca cc hc phn b sung c xc nh c th cho tng loi i tng ti mc 4. NCS c bng ThS: ti thiu 8 tn ch + khi lng b sung (nu c). NCS mi c bng H: ti thiu 8 tn ch + 28 tn ch (khng k lun vn) ca Chng trnh Thc s Khoa hc ngnh Cng ngh thng tin, trng i hc Bch Khoa H Ni. i vi NCS c

bng H ca cc h 4 hoc 4,5 nm (theo quy nh) s phi thm cc hc phn b sung ca Chng trnh Thc s Khoa hc ngnh Cng ngh Thng tin Trng H Bch Khoa H Ni. 4 i tng tuyn sinh i tng tuyn sinh l cc th sinh c bng Thc s vi chuyn ngnh tt nghip ph hp (ng ngnh) hoc gn ph hp vi chuyn ngnh H thng thng tin. Ch tuyn sinh mi c bng H vi ngnh tt nghip ph hp. Mc ph hp hoc gn ph hp vi chuyn ngnh H thng thng tin, c nh ngha c th mc 4.1 sau y.

4.1 nh ngha Ngnh ph hp: L nhng hng o to chuyn su thuc ngnh Cng ngh Thng tin v ngnh "K thut my tnh v Truyn thng" ca chng trnh o to i hc trng HBK HN, cc chuyn ngnh thuc ngnh Cng ngh thng tin ca cc trng i hc khc (nh Khoa hc my tnh, H thng thng tin, Cng ngh phn mm, Truyn thng v mng, K thut my tnh). Ngnh gn ph hp: Ngnh Ton tin ca chng trnh o to i hc trng HBK HN (cc chuyn ngnh su m bo Ton hc cho my tnh v h thng tnh ton, Ton Tin ng dng) v cc trng i hc khc 4.2 Phn loi i tng C bng ThS Khoa hc ca H Bch Khoa H Ni vi ngnh tt nghip cao hc ng vi chuyn ngnh Tin s. y l i tng khng phi tham gia hc b sung, gi tt l i tng A1. C bng tt nghip i hc loi xut sc vi ngnh tt nghip ng vi chuyn ngnh Tin s. y l i tng phi tham gia hc b sung, gi tt l i tng A2. C bng ThS ng ngnh, nhng khng phi l ThS Khoa hc ca H Bch Khoa H Ni hoc c bng ThS tt nghip ngnh gn ph hp. y l i tng phi tham gia hc b sung, gi tt l i tng A3. 5 Quy trnh o to, iu kin cng nhn t Quy trnh o to c thc hin theo hc ch tn ch, tun th Quy nh 1035/2011 v t chc v qun l o to sau i hc ca H Bch Khoa H Ni. Cc hc phn b sung phi t mc im C tr ln (xem mc 6). Cc hc phn Tin s phi t mc im B tr ln (xem mc 6). 6 Thang im Khon 6a iu 62 ca Quy nh 1035/2011 quy nh: Vic chm im kim tra - nh gi hc phn (bao gm cc im kim tra v im thi kt thc hc phn) c thc hin theo thang im t 0 n 10, lm trn n mt ch s thp phn sau du phy. im hc phn l im trung bnh c trng s ca cc im kim tra v im thi kt thc (tng ca tt c cc im kim tra, im thi kt thc nhn vi trng s tng ng ca tng im c quy nh trong cng chi tit hc phn). im hc phn c lm trn n mt ch s thp phn sau du phy, sau c chuyn thnh im ch vi mc nh sau:

im s t 8,5 10 chuyn thnh im A (Gii) im s t 7,0 8,4 chuyn thnh im B (Kh) im s t 5,5 6,9 chuyn thnh im C (Trung bnh) im s t 4,0 5,4 chuyn thnh im D (Trung bnh yu)

im s di 4,0 chuyn thnh im F (Km)

7 Ni dung chng trnh 7.1 Cu trc Cu trc chng trnh o to trnh Tin s gm c 3 phn nh bng sau y. Phn Ni dung o to A1 A2 A3

1 HP b sung 0 CT ThS KH (28TC) 4TC HP TS 8TC

2 TLTQ Thc hin v bo co trong nm hc u tin CTS Tng cng 3 CTS, mi CTS 2TC

3 NC khoa hc Lun n TS Lu : - S TC qui nh cho cc i tng trong l s TC ti thiu NCS phi hon thnh. - i tng A2 phi thc hin ton b cc hc phn qui nh trong chng trnh ThS Khoa hc

ca ngnh tng ng, khng cn thc hin lun vn ThS. - Cc HP b sung c la chn t chng trnh o to Thc s ca ngnh ng chuyn ngnh

Tin s. - Vic qui nh s TC ca HP b sung cho i tng A3 do ngi hng dn (NHD) quyt

nh da trn c s i chiu cc hc phn trong bng kt qu hc tp ThS ca th sinh vi chng trnh ThS hin ti ca ngnh ng chuyn ngnh Tin s nhng phi m bo s TC ti thiu trong bng.

- Cc HP TS c NHD xut t chng trnh o to Thc s v Tin s ca trng nhm trang b kin cn thit phc v cho ti nghin cu c th ca LATS.

7.2 Hc phn b sung Cc hc phn b sung c m t trong quyn Chng trnh o to Thc s ngnh Cng

ngh Thng tin hin hnh ca trng H Bch Khoa H Ni. NCS phi hon thnh cc hc phn b sung trong thi hn 2 nm k t ngy c quyt nh

cng nhn l NCS.

7.3 Hc phn Tin s 7.3.1 Danh mc hc phn Tin s

TT M S TN HC PHN GING VIN TN CH KHI LNG

1 IT7310

K ngh d liu v tri thc Knowledge and Data Engineering

1. PGS. Nguyn Thanh Thy.

2. PGS. Nguyn Th Kim Anh

3 3(2-2-0-6)

2 IT7331 Tch hp d liu Data Integration

1. PGS. Nguyn Th Kim Anh

2. TS. V Tuyt Trinh

3 3(2-2-0-6)

3 IT7341 Tm kim thng tin Information Retrieval

1. TS. V Tuyt Trinh 2. TS. Trn c

Khnh

3 3(2-2-0-6)

4 IT7351 Khai ph d liu v pht hin tri thc Data Mining and Knowledge Discovery

1. TS. Nguyn Nht Quang

2. PGS. Nguyn Th Kim Anh

3 3(2-2-0-6)

5 IT7361 Khai ph d liu vn bn v d liu Web Text and Web Mining

1. TS. L Thanh Hng 2. PGS. Nguyn Th Kim Anh

3 3(2-2-0-6)

6 IT7371

Cc tip cn logic trong biu din v x l thng tin Logical approaches in information representation and procesing

1. PGS. Trn nh Khang

2. TS. L Thanh Hng

3 3(2-2-0-6)

7.3.2 M t tm tt hc phn Tin s

IT7310 K ngh d liu v tri thc (Knowledge and Data Engineering) 1. Cung cp cc k ngh i vi vn thu thp v qun tr cc loi d liu ni chung: d

liu c cu trc, bn cu trc v phi cu trc. 2. Cung cp cc k ngh i vi vn thu thp v qun tr cc loi tri thc ni chung: tri

thc n, tri thc hin, tri thc r, tri thc m,... .

IT7310 Knowledge and Data Engineering 1. Provide techniques for data collection and data management: structured data, semi-

structured data and unstructured data. 2. Provide techniques for knowledge collection and knowledge management: hidden

knowledge, present knowledge, clear knowledge, fuzzy knowledge, ... .

IT7331 Tch hp d liu (Data Integration) 1. Cung cp cc k thut i vi vn thu thp d liu t cc ngun d liu thun nht v

khng thun nht 2. Cung cp cc k thut i vi vn lm sch d liu m bo tnh nht qun ca d

liu 3. Cung cp cc k thut i vi vn sinh cc cu tr li nht qun

IT7331 Data Integration 1. Provide techniques for data collection from homogeneous and heterogeneous data

sources 2. Provide techniques for data cleaning to ensure data consistency 3. Provide techniques for generating consistent answers

IT7341 Tm kim thng tin (Information Retrieval) 1. Cung cp cc k thut i vi vn thu thp, trch chn, biu din, lu tr cc ti liu

i vi mt h tm kim thng tin

2. Cung cp cc k thut i vi vn x l cc yu cu tm kim v trnh din cc kt qu tm kim

IT7341 Information Retrieval 1. Provide techniques for collecting, extracting, representing, storing data for an search

engine. 2. Provide techniques for processing search queries and presenting search result.

IT7351 Khai ph d liu v pht hin tri thc (Data Mining and Knowledge Discovery) 1. Cung cp cc k thut i vi vn chun b d liu cho khai ph d liu 2. Cung cp cc k thut khai ph d liu ni chung: pht hin lut kt hp, phn cm d

liu, phn loi d liu v tm tt d liu

IT7351 Data Mining and Knowledge Discovery 1. Provide techniques for data preparation in data mining 2. Provide techniques for data mining: discovering association rules, data clustering, data

categorization and data summarization

IT7361 Khai ph d liu vn bn v d liu Web (Text and Web Mining) Hc phn ny cung cp cc k thut v cc cng c s dng trong khai ph d liu vn bn v d liu web. Trn c s , NCS c th pht trin cc ng dng nh my tm kim, thng mi in t, cc th vin s, cc h thng qun l tri thc, v.v.

1. Cung cp cc k thut i vi vn tin x l v biu din vn bn cho khai ph vn bn 2. Cung cp cc k thut khai ph vn bn ni chung: phn cm vn bn, phn loi vn bn

v tm tt vn bn 3. Cung cp cc k thut khai ph Web

IT7361 Text and Web Mining This course provides techniques and tools used in text mining and web mining. From that point of view, PhD student can develop applications such as search engines, e-commerce, digital libraries, systems for knowledge management, etc.

1. Provide techniques for preprocessing and representing documents for text mining. 2. Provide text mining techniques: text clustering, text categorization and summary

documents 3. Provide Web mining techniques

IT7371 Cc tip cn logic trong biu din v x l thng tin (Logical approaches in information representation and procesing) Trnh by tng quan v logic tnh ton, vi cc logic kinh in v logic bc cao; phn loi cc ngn ng khi nim theo c php v cu trc cng vi cc th tc tnh ton. a ra cc biu din ng ngha cho cc nhn ngn ng v cc php ton x l.

IT7371 Logical approaches in information representation and procesing Presenting an overviewing of computational logic, including the classic logic and the higher-order logic; classifying conceptual languagues by their syntax and their structure along with computational procedures. Providing semantic representations for language labels and processing operators.

7.3.3 K hoch hc tp cc hc phn Tin s

Cc hc phn Tin s c thc hin linh hot, ty theo cc iu kin thi gian c th ca ging vin. Tuy nhin, nghin cu sinh phi hon thnh cc hc phn Tin s trong vng 24 thng k t ngy chnh thc nhp trng.

7.4 Chuyn Tin s Mi nghin cu sinh phi hon thnh 3 chuyn Tin s c th chn t danh sch hng

chuyn su. Mi hng chuyn su u c ngi hng dn do Hi ng Xy dng chng trnh o to chuyn ngnh ca Vin Cng ngh thng tin v truyn thng xc nh.

Ngi hng dn khoa hc lun n ca nghin cu sinh s xut ti c th. u tin xut ti gn lin, thit thc vi ti ca lun n Tin s.

Sau khi c ti c th, NCS thc hin ti di s hng dn khoa hc ca ngi hng dn chuyn .

Danh mc hng chuyn su cho Chuyn Tin s

TT M S HNG CHUYN SU NGI HNG DN TN CH 1 IT7410 Cc h thng thng minh Intelligent Systems

PGS. Nguyn Thanh Thy PGS. Trn nh Khang 3

2 IT7421 Cc h CSDL thng minh Intelligent Database Systems PGS. Nguyn Th Kim Anh TS. L Thanh Hng

3

3 IT7432 Tm kim thng minh Intelligent Information Retrieval TS. L Thanh Hng TS. Trn c Khnh 3

4 IT7441 H da trn logic Logic-based Systems PGS. Trn nh Khang TS. Trn c Khnh 3

5 IT7451 H gi Recommender Systems TS. Nguyn Nht Quang PGS. Nguyn Th Kim Anh

3

6 IT7461 H thch nghi da trn ng cnh Context-based adaptive Systems TS. V Tuyt Trinh TS. Nguyn Nht Quang 3

7 IT7471 Ontology v Web ng ngha Ontology and semantic Web TS. T Tun Anh TS. L Thanh Hng 3

8 IT7481 Tnh ton hiu nng cao High performance Computing TS. Nguyn Hu c PGS. Nguyn Thanh Thy 3

8 Danh sch Tp ch / Hi ngh khoa hc Cc din n khoa hc trong nc trong bng di y l ni NCS c th chn cng b cc kt qu nghin cu khoa hc phc v hon thnh lun n Tin s.

S TT Tn din n a ch lin h

nh k xut bn / hp

1 Tp ch Khoa hc v Cng ngh H Bch Khoa H Ni; S 1, ph i C Vit, Hai B Trng, H Ni

Hai thng 1 ln

2 Tp ch Khoa hc v Cng ngh trng i hc quc gia H ni

Trng i hc Quc Gia H Ni Hai thng 1 ln

3 Tp ch Khoa hc v Cng ngh trng i hc quc gia thnh ph H Ch Minh

Trng i hc Quc Gia Thnh ph H Ch Minh Hai thng 1 ln

4

Tp ch Bu chnh vin thng, Chuyn san Cc nghin cu v trin khai ng dng trong vin thng v Cng ngh thng tin

Vin Khoa hc v Cng ngh Vit Nam; ng Hong Quc Vit, H Ni

Ba thng 1 ln

5 Tp ch Cng ngh thng tin 3 thng 1 ln Vin Khoa hc v Cng ngh Vit Nam; s 18 ng Hong Quc Vit, H Ni

Ba thng 1 ln

6 Hi tho khoa hc quc gia v nghin cu, pht trin v ng dng CNTT v Truyn thng ICT RDA

Ban chng trnh quc gia Hng nm

7 Hi ngh khoa hc Mt s vn chn lc trong CNTT Ban chng trnh quc gia Hng nm

8 Hi tho Khoa hc Quc gia ln th nht "Nghin cu c bn v ng dng Cng ngh thng tin FAIR

Ban chng trnh quc gia Hng nm

9 Cc Hi ngh quc t t chc ti Vit Nam Ban chng trnh quc gia Hng nm

PHN II

CNG CHI TIT CC HC PHN

9 Danh mc hc phn chi tit ca chng trnh o to 9.1 Danh mc hc phn b sung Danh mc hc phn b sung c th xem chi tit trong quyn Chng trnh o to Thc s Cng ngh thng tin ca trng HBK HN.

9.2 Danh mc hc phn Tin s S TT

M S TN HC PHN TN TING ANH KHI LNG

Khoa/Vin B mn

nh gi

1 IT7310 K ngh d liu v tri thc

Knowledge and Data Engineering 3(2-2-0-6) Bm HTTT

KT0,3-T0,7

2 IT7331 Tch hp d liu

Data Integration 3(2-2-0-6) Bm HTTT KT0,3-T0,7 3 IT7341 Tm kim thng tin

Information Retrieval 3(2-2-0-6) Bm HTTT

KT0,3-T0,7

4 IT7351 Khai ph d liu v pht hin tri thc

Data Mining and Knowledge Discovery

3(2-2-0-6) Bm HTTT

KT0,3-T0,7

5 IT7361 Khai ph d liu vn bn v d liu Web

Text and Web Mining 3(2-2-0-6)

Bm HTTT KT0,3-T0,7

6 IT7371

Cc tip cn logic trong biu din v x l thng tin

Logical approaches in information representation and procesing

3(2-2-0-6)

Bm HTTT

KT0,3-T0,7

10 cng chi tit cc hc phn Tin s

IT7310 K ngh d liu v tri thc Knowledge and Data Engineering 1. Tn hc phn: K ngh d liu v tri thc 2. M hc phn: IT7310 3. Tn ting Anh: Knowledge and Data Engineering 4. Khi lng: 3 (2-2-0-6) - L thuyt: 30 tit - Bi tp: 30 tit - Th nghim: 5. i tng tham d: NCS thuc chuyn ngnh H thng thng tin 6. Mc tiu ca hc phn: Hc phn ny nhm mang li cho NCS: - Cc kin thc nng cao v l lun chuyn ngnh H thng thng tin - Rn luyn kh nng t duy - Rn luyn k nng th nghim ca chuyn ngnh H thng thng tin

- C kh nng la chn cc k ngh thch hp cho php thu thp v qun tr d liu v tri thc i vi mt H thng thng tin c th

7. Ni dung tm tt: Hc phn ny cung cp cc k ngh d liu bao gm: cc k thut thu thp, biu din, lu tr v truy vn d liu v cc k ngh tri thc bao gm: biu din tri thc, lp lun khng chc chn v pht hin tri thc s dng hc my v khai ph d liu.

8. Nhim v ca NCS: - D lp: y theo quy ch - Bi tp: hon thnh cc bi tp ca hc phn - Th nghim: 9. nh gi kt qu: - Mc d gi ging: - Kim tra nh k: trng s 0.4 - Thi kt thc hc phn: t lun, trng s 0.6 10. Ni dung chi tit hc phn:

PHN M U Gii thiu mn hc Gii thiu cng mn hc Gii thiu ti liu tham kho

Phn 1. K ngh d liu (DE) Chng 1: Gii thiu

1. Cc khi nim c bn v DE 2. Cc hot ng chnh ca DE 3. Cc h CSDL 4. Cc ng dng nng cao

Chng 2: Biu din d liu 1. Cc kiu d liu 2. M hnh d liu quan h 3. M hnh d liu hng i tng 4. M hnh d liu a chiu 5. M hnh d liu XML

6. Thit k v chun ha d liu Chng 3: Lu tr d liu

1. T chc lu tr d liu quan h 2. T chc lu tr d liu hng i tng 3. T chc lu tr d liu OLAP 4. Lu tr v nh ch s d liu XML

Chng 4: Truy vn d liu 1. Ngn ng truy vn i vi CSDL quan h 2. Ngn ng truy vn i vi CSDL hng i tng 3. Cc thao tc OLAP trong m hnh d liu a chiu 4. Ngn ng truy vn d liu bn cu trc 5. Cc k thut x l v ti u ha truy vn

Phn 2. K ngh tri thc (KE) Chng 1: Gii thiu

1. Cc khi nim c bn v KE 2. Cc hot ng chnh ca KE 3. Cc h thng da trn tri thc (KBSs)

Chng 2: Biu din tri thc 1. Biu din da trn lut 2. Biu din da trn frame 3. Biu din da trn mng ng ngha

Chng 3: Lp lun khng chc chn 1. L thuyt xc xut 2. Lp lun xc sut 3. Cc mng Bayes 4. Logic m

Chng 4: Pht hin tri thc s dng Hc my v Khai ph d liu 1. Hc cy quyt nh 2. Quy np lut 3. Hc da trn mu 4. Pht hin lut kt hp

11. Ti liu hc tp:

12. Ti liu tham kho: 1. S. Kendal and M. Creen. An Introduction to Knowledge Engineering. Springer-Verlag, 2007. 2. S. Russell and P. Norvig. Artificial Intelligence: A Modern Approach. 2nd edition. Prentice-

Hall, 2003. 3. T. M. Mitchell. Machine Learning. McGraw-Hill, 1997. 4. S. Chakrabarti. Mining the Web: Discovering Knowledge from Hypertext Data. Morgan

Kaufmann Publishers, 2003. 5. P.N. Tan, M. Steinbach, and V. Kumar. Introduction to Data Mining. Addison-Wesley,

2005. 6. J. Han and M. Kamber. Data Mining: Concepts and Techniques, 2nd Edition. Morgan

Kaufmann, 2006. 7. H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques,

2nd Edition. Morgan Kaufmann, 2005.

IT7331 Tch hp d liu Data Integration 1. Tn hc phn: Tch hp d liu 2. M hc phn: IT7331 3. Tn ting Anh: Data Integration 4. Khi lng: 3 (2-2-0-6) - L thuyt: 30 tit - Bi tp: 30 tit - Th nghim: 5. i tng tham d: NCS thuc chuyn ngnh H thng thng tin 6. Mc tiu ca hc phn: Hc phn ny nhm mang li cho NCS: - Cc kin thc nng cao v cc phng php v cc thch thc trong tch hp d liu - Rn luyn kh nng t duy - Rn luyn k nng th nghim xy dng H tch hp d liu. 7. Ni dung tm tt: Hc phn ny cung cp cc cch tip cn xy dng mt h tch hp d liu: cc k thut i snh lc , i snh d liu, xy dng lc tch hp, x l yu cu truy vn trong h tch hp d liu, cc k thut nng cao v lm sch d liu v tr li truy vn nht qun.

8. Nhim v ca NCS: - D lp: y theo quy ch - Bi tp: hon thnh cc bi tp ca hc phn - Th nghim: 9. nh gi kt qu: - Mc d gi ging: - Kim tra nh k: trng s 0.4 - Thi kt thc hc phn: t lun, trng s 0.6 10. Ni dung chi tit hc phn:

PHN M U Gii thiu mn hc Gii thiu cng mn hc Gii thiu ti liu tham kho

Chng 1: Gii thiu chung 1. Vi nt v lch s

2. Cc cch tip cn tch hp d liu

3. Cc vn lin quan n tch hp d liu 3.1 Tch hp lc 3.2 Tch hp d liu 3.3 Vit li truy vn

Chng 2: Tch hp lc & d liu, x ly truy vn trong h tch hp d liu 1. Tch hp lc

1.1. Cc cch tip cn i snh lc 1.2. nh gi i snh lc

1.3. Cc ng dng ca i snh lc 1.4. Cc vn cn m 2. Tch hp d liu

2.1. Tip cn GENMAPPER 2.2. Tip cn tch hp lai

3. X l truy vn trong h tch hp d liu M hnh chung

Vit li truy vn

Ti u ha x l y truy vn trong mt h tch hp d liu

Chng 3: Lm sch d liu v tr li truy vn nht qun 1. Cc d thng d liu v cht lng d liu

2. Cc phng php c s dng i vi lm sch d liu 3. Cc cch tip cn ang tn ti i vi lm sch d liu 4. Tr li truy vn nht qun i vi cc h tch hp d liu 5. Cc thch thc v cc vn cn m

11. Ti liu hc tp:

12. Ti liu tham kho: 1. Do Hong Hai, Schema Matching and Mapping-based Data Integration, VDM Verlag Dr.

Muller, 2006.

2. Maurizio Lenzerini (2002). "Data Integration: A Theoretical Perspective". PODS 2002: 233-246.

3. Patrick Ziegler and Klaus R. Dittrich (2004). "Three Decades of Data Integration - All Problems Solved?". WCC 2004: 3-12.

4. C. Koch (2001). "Data Integration against Multiple Evolving Autonomous Schemata". 5. Jeffrey D. Ullman (1997). "Information Integration Using Logical Views". ICDT 1997:

19-40.

6. A.Y. Halevy (2001). "Answering queries using views: A survey". The VLDB Journal: 270-294.

7. Alon Y. Halevy, Naveen Ashish, Dina Bitton, Michael J. Carey, Denise Draper, Jeff Pollock, Arnon Rosenthal, Vishal Sikka (2005). "Enterprise information integration: successes, challenges and controversies". SIGMOD 2005: 778-787.

IT7341 Tm kim thng tin Information Retrieval

1. Tn hc phn: Tm kim thng tin 2. M hc phn: IT7341 3. Tn ting Anh: Information Retrieval 4. Khi lng: 3(2-2-0-6) - L thuyt: 30 tit - Bi tp: 30 tit - Th nghim: 5. i tng tham d: Tt c NCS thuc chuyn ngnh H thng thng tin 6. Mc tiu ca hc phn: Hc phn ny nhm mang li cho NCS: - cc kin thc c bn v nng cao trong tm kim thng tin - cc ch nghin cu lin quan n tm kim thng tin 7. Ni dung tm tt: Biu din v lu tr; M hnh tm kim; Ch mc; Phn lp, phn cm; Cc k thut tm kim; nh gi h thng tm kim thng tin, my tm kim trn web; tm kim a phng tin; cc xu hng pht trin 8. Nhim v ca NCS:

- D lp: theo quy nh - Bi tp: hon thnh y bi tp - Th nghim: 9. nh gi kt qu: - Mc d gi ging: 0.05 - Kim tra nh k: 0.25 - Thi kt thc hc phn: 0.7 10. Ni dung chi tit hc phn:

PHN M U Gii thiu mn hc Gii thiu cng mn hc Gii thiu ti liu tham kho

Chng 1: Gii thiu chung 1. Tng quan v tm kim thng tin 2. Cc khi nim c bn 3. Quy trnh tm kim thng tin Chng 2: Cc m hnh tm kim thng tin v ch mc 1. M hnh Boolean 2. M hnh khng gian vec-t 3. M hnh xc sut 4. T in v posting list Chng 3: Phn loi v phn cm 1. Naive Bayes, Bayesian Networks 2. Nearest Neighbour and SVM 3. Decision tree learning 4. Ensemble learning 5. kMeans & EM

6. DBSCAN 7. Hierarchical clustering Chng 4: nh gi hiu qu tm kim 1. Cc thng s c bn nh gi kt qu tm kim Precision, Re-call, Fall-out, 2. Th nghim v nh gi h tm kim thng tin vi cc b d liu 2.1 TREC 2.2 CACM & CISI 2.3 Cystic Fibrosis Chng 5: K thut tm kim v lc 1. Phn hi ca ngi dng v kt qu tm kim 2. H s ngi dng 3. Lc cng tc Chng 6: M-t tm kim Web (search engine) 1. Gii thiu chung v tm kim web 2. Thu thp v nh ch mc 3. Phn tch lin kt

Web spam, SEO ; Reference models ; Googles Pagerank ; Hub and authorities Chng 7: Cc xu hng pht trin 1.Tm kim thng tin a phng tin 2. Tm kim a ngn ng 3. Tm kim thng tin hng ngi dng 4. Cc ng dng tiu biu 5. Mt s vn m

11. Ti liu hc tp:

12. Ti liu tham kho: [1] Christopher D. Manning, Prabhakar Raghavan and Hinrich Schtze, Introduction to

Information Retrieval, Cambridge University Press. 2008. [2] Ricardo Baeza-Yates, Berthier Ribeiro-Neto , Modern Information Retrieval. Addison

Wesley. 2004

v cc bi bo

IT7351 Khai ph d liu v pht hin tri thc Data Mining and Knowledge Discovery

1. Tn hc phn: Khai ph d liu v pht hin tri thc 2. M hc phn: IT7351 3. Tn ting Anh: Data Mining and Knowledge Discovery 4. Khi lng: 3 (2-2-0-6) - L thuyt: 30 tit - Bi tp: 30 tit - Th nghim: 5. i tng tham d: NCS thuc chuyn ngnh H thng thng tin 6. Mc tiu ca hc phn: Hc phn ny gii thiu tng quan v khai ph d liu v pht hin tri thc, trnh by tm tt cc k thut v cc phng php c bn trong khai ph d liu v pht hin tri thc. Ngoi ra, hc phn s trnh by mt s vn v phng php nng cao trong khai ph d liu v pht hin tri thc. Trong hc phn ny, nghin cu sinh cng s c yu cu nghin cu v nm c kin thc thng qua vic t c cc bi bo chn lc v trnh by hiu bit thu c. 7. Ni dung tm tt: Gii thiu tng quan v khai ph d liu v pht hin tri thc. Cc k thut c bn v mt s vn nng cao trong tin x l d liu. Cc phng php c bn v mt s vn nng cao trong pht hin lut kt hp. Cc phng php c bn v mt s vn nng cao trong phn lp v d on. Cc phng php c bn v mt s vn nng cao trong phn nhm.

8. Nhim v ca NCS: - D lp: y theo quy ch - Bi tp: hon thnh cc bi tp ca hc phn - Th nghim: 9. nh gi kt qu: - Mc d gi ging: - Kim tra nh k: trng s 0.3 - Thi kt thc hc phn: t lun, trng s 0.7 10. Ni dung chi tit hc phn:

PHN M U Gii thiu hc phn Gii thiu cng hc phn Gii thiu ti liu tham kho CHNG 1: Tng quan v khai ph d liu v pht hin tri thc

1.1. Gii thiu v khai ph d liu v pht hin tri thc

1.2. Cc bc chnh ca qu trnh khai ph d liu v pht hin tri thc

1.3. Cc ng dng tiu biu

1.4. Cc vn thch thc

1.5. Cc cng c tin ch

CHNG 2: Tin x l d liu 2.1. Gii thiu v tin x l d liu 2.2. Cc k thut c bn trong tin x l d liu 2.3. Chn lc mt s vn v k thut nng cao trong tin x l d liu

CHNG 3: Pht hin cc lut kt hp 3.1. Gii thiu v pht hin lut kt hp

3.2. Cc phng php c bn trong pht hin lut kt hp

3.3. Chn lc mt s vn v phng php nng cao trong pht hin lut kt hp

CHNG 4: Phn lp v d on 4.1. Gii thiu v phn lp v d on

4.2. Cc phng php c bn trong phn lp v d on

4.3. Chn lc mt s vn v phng php nng cao trong phn lp v d on

CHNG 5: Phn nhm 5.1. Gii thiu v phn nhm

5.2. Cc phng php c bn trong phn nhm

5.3. Chn lc mt s vn v phng php nng cao trong phn nhm

11. Ti liu hc tp:

12. Ti liu tham kho: [1] Pang-Ning Tan, Michael Steinbach, and Vipin Kumar. Introduction to Data Mining.

Addison-Wesley, 2005.

[2] Jiawei Han and Micheline Kamber. Data Mining: Concepts and Techniques, 2nd Edition. Morgan Kaufmann, 2006.

[3] Cc bi bo chn lc lin quan n cc vn nng cao.

IT7361 Khai ph d liu vn bn v d liu web Text and Web Mining

1. Tn hc phn: Khai ph d liu vn bn v d liu web 2. M hc phn: IT7361 3. Tn ting Anh: Text and Web Mining 4. Khi lng: 3 (2-2-0-6) - L thuyt: 30 tit - Bi tp: 30 tit - Th nghim: 5. i tng tham d: NCS thuc chuyn ngnh H thng thng tin 6. Mc tiu ca hc phn: Hc phn ny nhm mang li cho NCS: - Cc kin thc nng cao v l lun chuyn ngnh H thng thng tin - Rn luyn kh nng t duy - Rn luyn k nng th nghim ca chuyn ngnh H thng thng tin

- C kh nng la chn phng php thch hp ci t ng dng cho php x l d liu web hoc vn bn cho mt ng dng c th

7. Ni dung tm tt: Hc phn ny cung cp cc k thut v cc cng c s dng trong khai ph d liu vn bn v d liu web. Trn c s , NCS c pht trin cc ng dng nh my tm kim, thng mi in t, cc th vin s, cc h thng qun l tri thc, v.v.

8. Nhim v ca NCS: - D lp: y theo quy ch - Bi tp: hon thnh cc bi tp ca hc phn - Th nghim: 9. nh gi kt qu: - Mc d gi ging: - Kim tra nh k: trng s 0.4 - Thi kt thc hc phn: t lun, trng s 0.6 10. Ni dung chi tit hc phn:

PHN M U Gii thiu mn hc Gii thiu cng mn hc Gii thiu ti liu tham kho CHNG 1: Khai ph vn bn

1.1. Gii thiu

1.2. Cc thao tc khai ph vn bn

1.2.1. Cc thao tc c bn

1.2.2. S dng cc tri thc nn tng trong khai ph vn bn

1.2.3. Ngn ng truy vn trong khai ph vn bn

1.3. Cc k thut tin x l khai ph vn bn 1.4. Cc cng c trong khai ph vn bn

1.5. Cc ng dng ca khai ph vn bn

CHNG 2: Khai ph d liu web 2.1. Khai ph ni dung trang web

2.1.1. nh ch s trang v tm kim trong mi trng web

2.1.2. Xp hng kt qu tm kim

2.1.3. Phn loi v gp nhm ti liu web

2.2. Khai ph cu trc web

2.2.1. Phn tch lin kt web

2.2.2. Xp hng trang web

2.3. Khai ph vic s dng web

2.3.1. ng x ca ngi dng

2.3.2. Qung co trn mng

2.4. Trch rt thng tin

2.6. H t vn

11. Ti liu hc tp:

12. Ti liu tham kho: [4] Sullivan, Dan. (2001) Document Warehousing and Text Mining: Wiley.

[5] Brin, Sergey, and Lawrence Page. (1998) The Anatomy of a Large-Scale Hypertextual Web Search Engine. Computer Networks and ISDN Systems 30 : 107-117.

[6] Croft, W. Bruce. (1995) What Do People Want from Information Retrieval? D-Lib Magazine November.

[7] Ronen Feldman,James Sanger. (2006) The text mining handbook: advanced approaches in analyzing unstructured data. Cambridge University Press.

IT7371 Cc tip cn logic trong biu din v x l thng tin Logical approaches in information representation and procesing

1. Tn hc phn: Cc tip cn logic trong biu din v x l thng tin 2. M hc phn: IT7371 3. Tn ting Anh: Logical approaches in information representation and procesing 4. Khi lng: 3(2-2-0-6) - L thuyt: 30 tit - Bi tp: 30 tit (BTL) - Th nghim: 5. i tng tham d: NCS thuc chuyn ngnh H thng thng tin 6. Mc tiu ca hc phn: Hc phn ny nhm mang li cho NCS: - Cc kin thc nng cao v l lun chuyn ngnh H thng thng tin - Rn luyn kh nng t duy - Rn luyn k nng th nghim ca chuyn ngnh H thng thng tin - C kh nng la chn cc tip cn logic thch hp trong biu din v x l thng tin 7. Ni dung tm tt: Trnh by tng quan v logic tnh ton, vi cc logic kinh in v logic bc cao; phn loi cc ngn ng khi nim theo c php v cu trc cng vi cc th tc tnh ton. a ra cc biu din ng ngha cho cc nhn ngn ng v cc php ton x l. 8. Nhim v ca NCS: - D lp: y , theo quy ch - Bi tp: hon thnh cc bi tp - Th nghim: 9. nh gi kt qu: (cch cho im ging nh quy nh i vi Cao hc) - Mc d gi ging: - Kim tra nh k: trng s 0.4 - Thi kt thc hc phn: trng s 0.6 10. Ni dung chi tit hc phn:

PHN M U Gii thiu mn hc Gii thiu cng mn hc Gii thiu ti liu tham kho CHNG 1: Tng quan v logic tnh ton

1.1. Logic mnh 1.2. Logic v t bc nht 1.3. Logic bc cao

CHNG 2: Cc tip cn logic trong biu din v x l thng tin 2.1. Cc ngn ng khi nim 2.2. Suy din khng n iu

CHNG 3: Biu din v x l thng tin dng ngn ng 3.1. Tnh ton vi t 3.2. i s gia t 3.3. Suy lun ngn ng

CHNG 4: Cc vn khc 4.1. ng dng ca logic trong iu khin hc 4.2. ng dng logic trong x l ngn ng t nhin

11. Ti liu hc tp:

12. Ti liu tham kho: [1] Franz Baader, Diago Calvanese, Deborah McGuinness, Daniele Nardi, Peter Patel-

Schneider, The Description Logic Handbook, Theory, Implementation and Applications, Cambridge University Press 2003

[2] Rene Cori, Daniel Lascar, Mathematical Logic, Oxford University Press, 2001 [3] LOTFI A. ZADEH, FROM COMPUTING WITH NUMBERS TO COMPUTING

WITHWORDS - FROM MANIPULATION OF MEASUREMENTS TO MANIPULATION OF PERCEPTIONS, Int. J. Appl. Math. Comput. Sci., 2002, Vol.12, No.3, 307324

[4] Jerry M. Mendel, Computing with words and its relationships with fuzzistics, Information Sciences: an International Journal, Volume 177 Issue 4, February, 2007

[5] Cat-Ho Nguyen, Dinh Khang Tran, Van Nam Huynh, Hai Chau Nguyen, Hedge Algebras, Linguistic-Valued Logic and Their Application to Fuzzy Reasoning. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 7(4): 347-361 (1999)