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  1. 1. Lovely Professional University, Phagwara INSTRUCTIONAL PLAN (for Lectures) Term: Course No. : CSE501 Course Title: Data Warehousing and Data Mining L: 4 T: 0 P: 0 Textbooks: 1. Alex Berson Data Warehousing, Data Mining, and Olap, Tata Mcgraw Hill 2. George M Marakas, Modern Data Warehousing, Mining & Visualization Core Concepts, Pearson Education Other specific books: 3. (Rud,olivia) Data Mining:Modelling Data for Marketing,Risk and Customer Relationship Mgmt 4. (Berry,Michael) Data Mining Techniques 5. (Sharma, Gajaandra) Data Mining,Data Warehousing and OLAP 6. (Gupta GK) Data Mining with Case Studies 7. (Hand,David) Principles of Data Mining Other readings: S.No. Journal articles as compulsory readings (Complete reference) 1 Data Mining and Data Warehousing: http://www.arl.org/bm~doc/spec274webbook.pdf 2 Data warehousing: the latest strategic weapon for the lodging industry? Magazine article from: Cornell Hotel & Restaurant Administration; http://www.encyclopedia.com/doc/1G1-55083303.html 3 Building a data warehouse at the housing and development board Magazine article from: Database for Advances in Information Systems ; http://www.encyclopedia.com/doc/1P3-74658570.html 4 Data Warehouse Workloads and Use Cases Magazine article from: SQL Server Magazine ; http://www.encyclopedia.com/doc/1P3-1552912191.html Relevant websites: S.No. Web address (Exact page address) Salient Features 1 www.b-eye-network.com/view/1276 To aware about data warehouse and its applications 2 http://resources.bnet.com/topic/data+mining+and+data+warehous To aware about data e.html warehouse and its applications 3 http://dataminingresearch.blogspot.com/ To have knowledge about data mining and its applications Page 1 of 7
  2. 2. Detailed Plan for Lectures Plan for 12×L lectures: 6×L for before the MTE, 6×L for after the MTE. Provide for at least 2×L spill-over lecture. Lecture Topic Chapters/ Assignment/ Task Pedagogical aid Date No. Sections of to be assigned to Demonstration/ Delivered2 Textbook/ students case study/ other 3 4 images/ DoS reference1 animations etc.5 1 Introduction to Data Warehousing Ch.-1/1.2 TBA 1 www.dwreview.c The need for data ware housing, om 2 Operational Data Stores, Ch.-1/1.5 www.dwreview.c 3 Informational Data Stores, Ch.-1/1.5 om www.dwreview.c 4 Data Ware house definition & Ch.-1/1.6 om Characteristics, www.dwreview.c 5 Data Warehouse role & Structure, Ch.-1/1.6 om 6 Ch.-1/1.7 www.dwreview.c The cost of warehousing data om www.dwreview.c om 7 Introduction to Data Mining : Ch.-17/17.8.1 TBA 2 www.cs.ualberta Foundation & Roots of Data, -17.8.3 .ca Introduction to Data Mining : Ch.-17/17.8.1 www.cs.ualberta 8 .ca Foundation & Roots of Data, -17.8.3 www.secviz.org 9 Introduction to Visualization: Ch.-17/17.8.1 http://datamining Foundation & Roots of Data, -17.8.3 research.blogsp 10 Approach of data exploration and Ch.-17/17.8.1 ot.com/ data mining -17.8.3 http://datamining Approach of data exploration and research.blogsp 11 Ch.-17/17.8.1 ot.com/ data mining -17.8.3 http://datamining 12 Foundation of data visualization. Ch.-17/17.8.1 research.blogsp -17.8.3 ot.com/ 13 Data Warehousing Components: Ch.-6/6.1,6.2 TBA 3 www.bipminstitu Stores, warehouses and marts, te.com Data warehouse database, Sourcing, Ch.-6/6.2,6.3 www.bipminstitu acquisition , te.com 14 clean up & transformation tools, Ch.-6/6.3 www.abouttheim 15 meta data, , Ch.-6/6.4 age.com www.abouttheim 16 Access tools Ch.-6/6.5 age.com 17 Data ware house administration Ch.-6/6.7 www.secviz.org 18 Data ware house management Ch.-6/6.7 www.cs.ualberta 19 Data Warehouse Architecture – Ch-5/5.1-5.5 .ca operational & External Database www.dwreview.c layer, om 20 Information access layer Ch-5/5.1-5.5 www.datawareh 21 data access layer, metadata layer, Ch-5/5.1-5.5 ouse4u.info process management layer, Ch-5/5.1-5.5 www.datawareh 22 Application messaging layer ouse4u.info Physical DW layer www.datawareh 23 Ch-5/5.1-5.5 ouse4u.info 24 Data staging layer Ch-5/5.1-5.5 www.datawareh ouse4u.info www.datawareh ouse4u.info www.datawareh ouse4u.info Page 2 of 7
  3. 3. 25 Building a Data Warehouse- Ch-7/7.1 TBA 4 www.ctg.albany. Business, Design, edu 26 Technical & Implementation Ch-7/7.3, 7.4 www.ctg.albany. Considerations edu 27 DW project plan Ch-7/7.5 www.ctg.albany. 28 Overview of Mapping the DW to Ch-8/8.1-8.5 edu Multiprocessor Architecture, & www.ctg.albany. 29 DBMS Schemas for Decision Ch-9/9.1-9.7 edu Support. www.datawareh 30 DBMS Schemas for Decision Ch-9/9.1-9.7 ouse4u.info Support. www.datawareh ouse4u.info 31 Metadata – Definition Ch-11/11.1 TBA 5 www.abouttheim 32 Management & trends. Ch-11/11.4, age.com www.abouttheim 11.6 age.com 33 Repository Ch-11/11.3 www.laquso.co 34 OLAP: Need, guidelines, Multi Ch-13/13.1, m Relational & Multi Dimensional 13.3,13.4 www.texunatech 35 OLAP: Need, guidelines, Multi Ch-13/13.1, .com Relational & Multi Dimensional www.texunatech 13.3,13.4 .com 36 MOLAP, ROLAP, OLAP Tools Ch-13/13.5 www.rittmanme ad.com 37 Data Mining & Visualization: Ch-17/Ch-24 TBA 6 www.laquso.co Techniques to mine the data (24.1-24.5) m www.demandtec 38 Market Basket analysis Ch-17/Ch-24 .com (24.1-24.5) www.rittmanme 39 Embedding data mining to Ch-17/Ch-24 ad.com business process (24.1-24.5) www.cs.ualberta 40 Current limitations and challenges Ch-17/Ch-24 .ca www.snvairporte in DM. (24.1-24.5) is.com 41 Introduction to EIS Pg 3,121,225 www.secviz.org 42 The future of Data Mining Ch-24(24.5) www.dwreview.c 43 The future of Warehousing Ch-24(24.5) om 44 The future of Virtualization Ch-24(24.5) www.laquso.co 45 Applications: PowerBuilder Ch-12/12.4.1 m www.automated 46 Applications: Forte. Ch-12/12.4.2 qa.com 47 Technical Exposure to Data Ch-12/12.4.3 www.snvairporte Mining is.com 48 Technical Exposure to Data Ch-12/12.4.3 www.secviz.org Mining www.abouttheim age.com Notes: 1. Use S. No. Of the readings above 2. To be filled in on the date of delivery of lecture by the instructor 3. Put assignment number from Assignment Table (below) against the lecture in which planned to be assigned (by co-ordinator) 4. To be filled in on the date of assignment (by the instructor) 5. Do not write Lecture, OHP, LCD projector etc. Details of Assignments Planned: Assignmen Details Nature of Expected outcome t No. Assignment Page 3 of 7
  4. 4. 1 Introduction to Data Warehousing To make students The need for data ware housing, understand the basics Operational & Informational Data Stores, Data Ware house definition & concept of Data Characteristics, Data Warehouse role & Warehousing Structure, The cost of warehousing data 2 Introduction to Data Mining & Use of Data Mining & Visualization: Foundation & Roots of Visualization Data, Approach of data exploration and To make students aware of data mining, foundation of data Data Warehousing visualization. Components and Data 3 Data Warehousing Components: Stores, Warehouse Architecture warehouses and marts, Data warehouse Use of Building a Data database, Sourcing, acquisition , clean up Warehouse & transformation tools, meta data, Access tools, Data ware house administration & Handling Metadata management. Data Warehouse To feel comfortable in Architecture – operational & External Data Mining & Database layer, Information access layer, Visualization and its data access layer, metadata layr, process management layer, Application messaging efficient use and also layer, Physical DW layer, Data staging strengthen the concepts of layer trees and graphs Building a Data Warehouse- Business, GROUP 4 Design, Technical & Implementation Considerations, DW project plan Overview of Mapping the DW to Multiprocessor Architecture, & DBMS Schemas for Decision Support 5 Metadata – Definition, repository, management & trends OLAP: Need, guidelines, Multi Relational & Multi Dimensional: MOLAP, ROLAP, OLAP Tools. 6 Data Mining & Visualization: Techniques to mine the data, Market Basket analysis, Measuring data mining effectiveness, embedding data mining to business process, current limitations and challenges in DM Introduction to EIS, The future of Data Mining, Warehousing & Virtualization, Applications: PowerBuilder, Forte. Technical Exposure to Data Mining Due date of term paper: 2 wks before the close of term Scheme for CA: (out of 100) Component Frequency Marks out of 100 Attendance Calculated at the end of the term Assignments 6 in no. Design Problem Two in a term Page 4 of 7
  5. 5. Any other: specify List of suggested topics for term paper [at least 15] (Student to spend about 15 hrs on any one specified assignment) NA( as per new pedagogy refer Instructional plan for Lab component (Only for courses with lab component as well as the lecture component) List of experiments (Should plan for 12 weeks of teaching: 6 before MTE and 6 after MTE) Expt. Title* Equipment used No. 1 N.A. N.A. 2 N.A. N.A. 3 N.A. N.A. 4 N.A. N.A. 5 N.A. N.A. 6 N.A. N.A. 7 N.A. N.A. 8 N.A. N.A. 9 N.A. N.A. 10 N.A. N.A. 11 N.A. N.A. 12 N.A. N.A. *Attach for each experiment, the objectives and the complete list of equipment/ consumables required Plan of experiments: Fill exp number to be performed by each group on each lab turn Lab. Date Group Group Group Group Group Group Group Group Group Group Turn 1 2 3 4 5 6 7 8 9 10 1. 2. 3. 4. 5. 6. 7 8 9 10 11 12. Break-up of CA marks for each lab experiment Component Recommended Proposed Conduct/Performance/Execution 20% Written Record 50% a. Observations b. Analysis c. Error Analysis d. Results and Discussions Page 5 of 7 Viva – Voce 30% Any other component 0%
  6. 6. Proposed Changes from the standard pedagogy for the course: _______________________ Prepared by (Instructional Planner: Name, signature & date) Comments of HoFD(Chief Academic Officer Signature & Date Comments of Dean of Faculty Signature & Date Report (to be filled by the instructor and submitted at the end of term to HoS through HoD) Lectrures S.No. Innovation introduced [New pedagogy, new demonstration, case Topic and lecture number where study, teaching aid, etc. NOT part of the instructional plan introduced General Comments of the Instructor about the suitability of IP Page 6 of 7
  7. 7. Conduct of Tutorials Tutorial Date Topics covered in the Activities (like quiz, casestudy, doubt clearing, any other) no. tutorial General Comments of the lab Instructor about the suitability of IP or new pedagogy attempted in labs: Syllabus Coverage Report Syllabus coverage by one week before MTE Satisfactory/ Lagging by ____ lectures. Syllabus coverage by two week before E TE Satisfactory/ Lagging by ____ lectures. ___ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ___ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Signature of Instructor & Date Signature of HoD & Date Page 7 of 7