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Course Catalogue

Ashoka University’s undergraduate course curriculum is taught across three semesters: Spring, Summer and Monsoon (Fall). Courses are broadly divided into three categories – Foundation Courses (core curriculum), Major & Minor Courses and Co-Curricular Courses.

You may search courses offered at Ashoka here. Please use the drop down menu to choose the specific semester and subject to see the full list of courses under each department. Foundation courses are offered in all semesters and do not have prerequisites. Offerings in other categories differ in each semester. Some higher level major/minor courses may have prerequisites.

To view Summer Semester Courses-2024: Click here

Introduction to Machine Learning

Code: CS-3410-1

Faculty: Sandeep Juneja .

Course Objectives: To understand the basic theory underlying machine learning. To be able to formulate machine learning problems corresponding to different real life applications. To understand a range of machine learning algorithms along with their strengths and weaknesses. To be able to apply machine learning algorithms, optimize models, evaluate their performance.
 

Study at Ashoka

Study at Ashoka

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