Profile
Name Dr. B. Thilaka
Designation Professor
Areas of Interest Stochastic Process, Commutative Algebra
Room No. Room No.: 2013 MCA Block
Intercom No. 156
Mobile
Email Id (Official) bthilaka@svce.ac.in
Email Id (Personal)
Qualification
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Courses Handled
Research & Consultancy

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COURSERA Courses Completed

S. NoCourse NameOffered byDuration of Course (in weeks)Commencement Period

1 AI For Everyone deeplearning.ai 4 April 2020
2 Data Science Maths Skills Duke University 4 April 2020
3 Logic for Economists University of Amsterdam 2 May 2020
4 Mathematical Foundations of Cryptography University of Colorado 4 May 2020
5 Calculus and Optimization for Machine Learning Higher School of Economics, National Research University 6 April 2020
6 Financial Markets Yale University 7 May 2020
7 Stochastic Processes Higher School of Economics, National Research University 9 May 2020
8 Understanding Financial Markets Universite de Geneive 4 July 2020

NPTEL COURSES COMPLETED

S.NoCourse Name YearNo. of creditsClassificationDuration (in weeks)Period

1 Graph Theory 2017 2 Elite 8 Aug – Oct 2017
2 Advanced Graph Theory 2018 2 Elite 8 Feb – April 2018
3 Calculus for Economics, Commerce and Management 2018 2 Elite 8 Feb – April 2018
4 Design and Analysis of Experiments 2018 3 Elite(Topper) 12 Jan– April 2018
5 Data Analysis and Decision Making – I 2018 3 Elite(Topper) 12 Jul – Oct 2018
6 Introduction to Biostatistics 2018 2 Gold(Topper) 8 Aug – Sep 2018
7 Biostatistics and Design of Experiments 2018 2 Elite(Topper) 8 Aug – Oct 2018
8 Introductory Mathematical Methods for Biologists 2019 2 Gold 8 Feb – April 2019
9 Data Analysis and Decision Making – II 2019 3 Elite(Topper) 12 Feb –April 2019
10 Financial Mathematics 2019 3 Elite 12 Jan – April 2019
11 Mathematical Finance 2019 3 Elite 12 Jul – Oct 2019
12 Data Analysis and Decision Making – III 2019 3 Silver 12 Jul – Oct 2019
13 Statistical Inference 2020 2 Silver- 8  Jan –  March 2020
14 Data Science for Engineers 2020 2  Silver 8 Jan – March 2020
15 Introduction to Machine Learning 2020 3  Elite 12 Jan – April 2020
16 Mathematical Portfolio Theory 2020 3 Gold 12  Sep – Dec 2020
17 Essential Mathematics for Machine Learning 2020 2 Gold (Topper) 8 Sep –  Nov 2020
18 Business Statistics 2021 3 90% Gold (Topper) 12 18 Jan – 9 April 2021
19 Introduction to Operations Research 2021 2 82% Silver (Topper) 8 15 Jan – 12 March 2021
20 Decision Modelling 2021 2 96% Gold (Topper) 8 26 Jul – 20 Sep 2021
21 Deep Learning 2021 3 77% Silver 12 26 Jul – 18 Oct 2021
22 Operations and Supply Chain Management 2021 3 68% Elite 12 26 Jul – 18 Oct 2021
23 Reinforcement Learning 2022 3 63% Elite 12 24 Jan – 20 April 2022
24 Programming, Data Structures and Algorithms using Python 2022 2 70% Elite 8 24 Jan – 23 Mar 2022
25 Learning Analytics Tools 2022 3 90% Gold (Topper) 12 25 Jul – 14 Oct 2022
Laboratory Handled
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Achievements
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