TITLE OF THE COURSE (BM69001 – Spreadsheet Modelling and Programming for Business)
CREDITS (L-T-P): 0-0-2
Name of the Faculty
Email
Telephone Number
Dr. M. Vimala Rani
vimala@vgsom.iitkgp.ac.in
9739057100
Name of the Teaching Assistant
Email
Telephone Number
Sec A: Gaurav Sharma
gauravsh@iitkgp.ac.in
9709028227
Sec B: Upasana Haldar
upasanahaldar@kgpian.iitkgp.ac.in
9903092189
COURSE DESCRIPTION:
This lab course is designed to introduce participants to spreadsheet modelling with Microsoft Excel.
The course will cover basic and advance features of Microsoft Excel. It will enable participants to
perform modelling and data analysis for management decision making.
COURSE OBJECTIVES:
The objectives of this lab course are:
• To learn various functionalities of Microsoft Excel spreadsheet.
• To use Excel spreadsheet for modelling and solving managerial problems.
PEDAGOGY:
Workshop mode – hands-on exercises in class.
TEXT BOOK:
1) Microsoft Excel Bible (2016) by John Walkenbach, Publisher: Wiley.
2) New Perspectives Microsoft® Office 365® &Excel® 2019 Comprehensive with MindTap by
Patrick Carey, Publisher: Cengage Learning India Pvt. Ltd.
E-TEXT BOOK: AVAILABLE / NOT AVAILABLE (LINK IF AVAILABLE): Available;
https://www.wiley.com/en-us/Excel+2016+Bible-p-9781119067511
REFERENCE BOOKS:
1. Spreadsheet Modeling and Decision Analysis: A Practical Introduction to Business Analytics
by Ragsdale, 8ed Cengage Publishing
2. Excel Models for Business and Operations Management by John F. Barlow. Wiley, 2nd Edition
SESSION PLAN
Week
1
2
3
4
5
6
7
8
Objective
Topics
Case Discussion /
Problem Solving
Excel environment, Exploring data types, Data
entry (Text, Value, Date, Time), Working with Solving
circular
Starting
with
excel
and
rows and columns, Working with cells and reference
problem,
understanding the basic data
ranges, Working with tables, Filtering data and Solving
problems
handling
removing duplicates, Relative, absolute, and using filters
mixed References, Circular references
Graphs and charts, IF statements, COUNTIF,
Visualization in Excel.
Solving
problems
COUNTIFS,
COUNT,
COUNTA,
To understand data manipulation
using IF, different
COUNTBLANK, SUMIF, AVERAGEIF,
through count and sum functions
COUNT and SUM
SUMIFS, and AVERAGEIFS Functions,
in Excel
functions
Conditional Formatting
Solving
problems
To understand text, date and time
using different Text,
Text Functions, Date & Time functions
functions in Excel
date
and
time
functions
Solving
problems
To understand Array functions Array formulas and functions, Sumproduct,
using different array
and data validation in Excel
Histogram, Data validation
functions
HBR Case: Zeta
Mining: Walking the
Vlookup, Hlookup, Lookup, Index, Match, Dragline.
To understand lookup and
Offset, NPV, IRR, PMT function, Costfinancial functions in Excel
volume-profit analysis
Solving
problems
using
different
financial functions
Develop different
To understand summarisation
Pivot table, Power pivot
summarisation
and
and analysis
analysis
HBR Goal Seek case
To understand the process of What-If analyses, Sensitivity analysis with
Solving
problems
decision making using What-if data tables, Sensitivity analysis with scenario
related to what-if,
analysis.
manager and goal seek
scenario manager and
goal seek
Statistical functions-Descriptive statistics, T- Solving
problems
To
understand
statistical
test, Z-Test, Chi Square test, ANOVA, using
different
functions in Excel
Correlation
statistical functions
9-10
Solving forecasting
To predict the value using time Forecasting- Moving Average, Exponential
problems
using
series data
Smoothing, Linear Regression, Control Chart
different techniques
11
Case: DHL Supply
To understand the process of
Determine optimal product mix, Solve Chain
optimization and find the optimal
transportation problem, Solve facility location
solution for operational problems
problem using Solver
Solving operational
in Excel
problems using solver
12
To find the optimal solution for Using solver for capital budgeting, and Solving
financial
financial problems in Excel
Portfolio Selection
problems using solver
EVALUATION PATTERN:
S. No
Evaluation Components
Weightage
1
Research paper presentation
(Group presentation)
20
2
Mid term
30
3
End term
50
Total
100
ACADEMIC DISHONESTY:
Students will not resort to plagiarism or adopt unfair means in any evaluation component.
Students will be awarded zero marks in the particular component if found guilty.