Foundational Level Course
Mathematics for Data Science I
This course introduces functions (straight lines, polynomials, exponentials and logarithms) and discrete mathematics (basics, graphs) with many examples. The students will be exposed to the idea of using abstract mathematical structures to represent concrete real life situations.
Course ID: BSCMA1001
Course Credits: 4
Course Type: Foundational
What you’ll learn
Course structure & Assessments
12 weeks of coursework, weekly online assignments, 3 in-person invigilated quizzes, 1 in-person invigilated end term exam. For details of standard course structure and assessments, visit Academics page.
|WEEK 1 - Click Here||Basics of discrete mathematics|
|WEEK 2||Straight Lines|
|WEEK 3||Straight Lines (Continued)|
|WEEK 4||Quadratic equations|
|WEEK 5||Quadratic equations (Continued)|
|WEEK 7||Polynomials (Continued)|
|WEEK 8||Exponentials and logarithms|
|WEEK 9||Exponentials and logarithms (Continued)|
|WEEK 10||Relations and Graphs|
|WEEK 11||Other Graph problems|
|WEEK 12||Other Graph problems (Continued)|
The following are the suggested books for the course:
Introductory Algebra: a real-world approach (4th Edition) - by Ignacio Bello
About the Instructors
Experienced Associate Professor with a demonstrated history of working in the higher education industry. Skilled in Mathematical Modeling, R, Stochastic Modeling, and Statistical Modeling. Strong education professional with a Doctor of Philosophy (Ph.D.) focused in Mathematical Statistics and Probability from Indian Institute of Technology, Bombay.
Other courses by the same instructor: BSCMA1004 - Statistics for Data Science II
Madhavan Mukund studied at IIT Bombay (BTech) and Aarhus University (PhD). He has been a faculty member at Chennai Mathematical Institute since 1992, where he is presently Deputy Director and Dean of Studies. His main research area is formal verification. He has active research collaborations within and outside India and serves on international conference programme committees and editorial boards of journals.
He has served as President of both the Indian Association for Research in Computing Science (IARCS) (2011-2017) and the ACM India Council (2016-2018). He has been the National Coordinator of the Indian Computing Olympiad since 2002. He served as the Executive Director of the International Olympiad in Informatics from 2011-2014.
In addition to the NPTEL MOOC programme, he has been involved in organizing IARCS Instructional Courses for college teachers. He is a member of ACM India's Education Committee. He has contributed lectures on algorithms to the Massively Empowered Classroom (MEC) project of Microsoft Research and the QEEE programme of MHRD.
Other courses by the same instructor: BSCCS1001 - Computational Thinking , BSCCS2002 - Programming, Data Structures and Algorithms using Python and BSCCS2005 - Programming Concepts using Java