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Indian Institute of Management Lucknow
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POST GRADUATE PROGRAM IN MANAGEMENT
I.T.01101
INFORMATION TECHNOLOGY CONCEPTS
COURSE OUTLINE
TERM - 1, 2015-16
Instructor and Contact Information
NAME: PRADEEP KUMAR AND VIVEK GUPTA
E-MAIL: [email protected], [email protected]
OFFICE: 219/221 , CHINTAN BLOCK, IIM CAMPUS
OFFICE TEL: 0522-6696657/0522-6696610
COURSE CREDIT : 0.5 15 sessions of one hour each:
COURSE DESCRIPTION
With today’s technology, companies are able to collect tremendous amount of data with relative ease. In
fact many companies have more data than they can handle. Operationally this calls for a disciplined
thinking process that involves capturing, transformation, abstraction, design of alternatives, to approach a
decision making situation. However, the data are usually meaningless until they are analyzed for trends,
patterns, relationships and other useful information. All managers need to analyze data and make
quantitative and logic based decisions in their job. Use of computer based models can help a decision
maker immensely in all of these.
The prime objective of this course is to enable the student to develop capability in generating insights via
modeling in a wide range of realistic situations. This course offers hands on, example based approach and
introduces fundamental concepts using the spreadsheet software – Microsoft Excel 2013.
COURSE OBJECTIVE
Enabling managers to understand and apply:
• Problem Solving and Decision Making using Excel
• Managing a spreadsheet development project
COURSE LEARNING OUTCOMES
By the end of the course the student should be able to:
1) Appreciate the role of MS- Excel in solving business problems
2) Develop a decision support system using MS-Excel
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3) Build a effective presentation of business data
4) Perform What if analysis: Goal seek, Scenario Manager, Data Table
5) Solve Optimization problem while modeling the worksheet
6) Generating reports using Pivot Tables and Subtotals
7) Summarizing data in one worksheet from multiple worksheets
8) Securing worksheets while sharing
ALIGNMENT OF INTENDED PROGRAM & COURSE LEARNING OUTCOMES
Sn. Programme Objectives Course Learning (CL) outcomes
1 To acquire knowledge and skills in key functional areas CL 1 -8
2 To internalize the knowledge and skills in key functional areas CL 1-8
3 To integrate and apply business knowledge CL 1-8
4 To develop a global perspective CL 1- 8
5 To inculcate values of professionalism, ethical leadership and
social responsiveness
CL 1-8
6 To master relational and interpersonal communication skills CL 3
REQUIRED COURSE MATERIALS AND READINGS
TEXTBOOK
Wayne L Winston; Microsoft Excel 2013: Data Analysis and business Modeling, Microsoft Press, PHI, 2014
EVALUATION
� Exams: There will be one examination.
GRADING SCHEME
End Term Exam (fixed) 60%
Quizzes 20%
Assignments 10%
Lab Practice 10%
Total 100%
ACADEMIC DISHONESTY
Academic dishonesty or misconduct is cheating that relates to an academic activity. It is a violation of
trust between the Institute and its stakeholders. Plagiarism, fabrication, deception, cheating and sabotage
are examples of unacceptable academic conduct. Please consult the PGP Manual for the section on academic dishonesty
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COURSE SCHEDULE
Session Topics to be covered in the course
Readings and Book Chapter
Assessment Criteria
1 Enabling Effective Decision Making in Organizations Data, Information and Knowledge, Decision Dimensions,
Decision Types, and Decision Support Systems (DSS)
Provided by Instructor
In-Class-MCQ
2 Spreadsheet Management Range Names, Addressing , Circularity, Paste-special,
Auditing toolbar, Filtering, Sorting, Removing Duplicates,
Protecting, Hiding
Ch 1, 10, 13, 15, 24, 49
Assignment + Practice Exercises
covering sessions
2-15
3 Data Acquisition and storage
TABLES, Import Data, Summarising and Consolidating Data
Ch 25, 38-39,
48, 50
Practice exercise
4 Lookup Functions-I Referencing, VLOOKUP and HLOOKUP
Ch 2 Practice exercise
5 Lookup Functions-II
INDEX, MATCH, OFFSET, INDIRECT
Ch 3, 4, 21, 22 Practice exercise
6 Text Functions
LEFT, RIGHT, MID TRIM, LEN, FIND, SEARCH, REPT,
CONCATENATE, &, REPLACE, VALUE, UPPER, LOWER, PROPER, CHAR, CLEAN, SUBSTITUTE, etc.
Ch 5 Practice exercise
7 Date and Time Functions DATE, DAY, EDATE, EOMONTH, MONTH, NETWORKDAYS,
NOW, TODAY, WEEKDAY, WORKDAY, YEAR, etc.
Ch 6 Practice exercise
8 Logical Functions-I AND, OR, NOT, FALSE, TRUE, IF, and IFERROR
Ch 11 Practice exercise
9 Logical Functions-II
COUNTIF, COUNTIFS, COUNT, COUNTA, COUNTBLANK, SUMIF, AVERAGEIF, SUMIFS, and AVERAGEIFS functions
Ch 19-20 Practice exercise
10 Sensitivity (What If) Analysis
Data Tables (1-and 2-input), Goal seek, Scenario Manager
Ch 16-18 Practice exercise
11 Optimization using Excel Solver
Examples: Optimal product mix, scheduling workforce,
transportation, capital budgeting, financial planning, etc.
Ch 28-36 Practice exercise
12 Describing Data
Histograms, Pivot tables, PowerPivot, Power View, Subtotals
Ch 41-46, 51 Practice exercise
13 Effective Data Display-I Conditional Formatting
Ch 23 Practice exercise
14 Effective data display-II
Sparklines, Charts
Ch 47, 52 Practice exercise
15 Recording/ Editing macros and Course Review Provided by
Instructor
Practice exercise
