Interested in knowing when the next round of Qualifier applications will open?

Interested in knowing when the next round of Qualifier applications will open?

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

Prerequisites: None

What you’ll learn

Recall the basics of sets, natural numbers, integers, rational numbers, and real numbers.
Learn to use the coordinate system, and plot straight lines.
Identify the properties and differences between linear, quadratic, polynomial, exponential, and logarithmic functions.
Find roots, maxima and minima of polynomials using algorithmic methods.
Learn to represent sets and relations between set elements as discrete graphs using nodes and edges.
Formulate some common real-life problems on graphs and solve them.

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 6 Polynomials 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) 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 