Plaksha TLF Program Structure

Program

TLF Program Experience

Spread over eight terms, each averaging six weeks, the program has four intertwined threads:

Data-X Coursework

Series of courses in Artificial Intelligence and Machine Learning, Design and Systems thinking to learn to apply technology to build holistic solutions.

Real-world Projects

12 week Challenge Lab to identify a need, market test, build a prototype, pitch to investors. 12 week Industry/ Research Capstone project, AI/ML centric (includes 8 weeks onsite).

Guest Sessions

Grand Challenge Lecture Series by domain experts on real-world AI/ML applications. Radical thinkers and global leaders share their ideas and walk you through their journey.

Leadership and mentoring

Intense curriculum involving goal setting, self reflection, group dynamics and leadership. Each Fellow is also assigned a distinguished mentor who is an eminent business leader or entrepreneur.

ACADEMIC CALENDAR: 2020 - 21

TERM 1: 31 Aug - 9 Oct

Course to help develop the capacity to design and redesign the most important project to date: our life via design and systems thinking to observe and notice the world around you and your place in it; frame and reframe challenges and possibilities for yourself; imagine and design concepts or solutions to create change; make and experiment with your ideas to learn what works and how you make progress.

Dr. Rachel Dzombak, UC Berkeley

Lecturer, UC Berkeley
College of Engineering and Haas School of Business. Research Scientist,
Blum Center for Developing Economies
Ph.D. & M.S. (UC Berkeley)

Introductory course to both cover up foundational concepts and build understanding of data structure and algorithms in Python. This will build an overall understanding of which fundamental data structure or algorithm to use when. Additionally students will become comfortable with space and time complexity to optimise code for efficiency of produced code.

Kingshuk Dasgupta, Google

Senior Manager, Site Reliability Engineering
Google, Massachusetts
B. Tech (IIT Kanpur), MBA (IIM Calcutta)

Introductory course to both cover up foundational concepts and build understanding of data structure and algorithms in Python. This will build an overall understanding of which fundamental data structure or algorithm to use when. Additionally students will become comfortable with space and time complexity to optimise code for efficiency of produced code.

Anuj Garg, Founder, Code for Cause

This course aims to reinforce mathematical concepts that are necessary to develop a firm understanding of AI. It is a foundational course that will allow students to get up to speed with the required concepts in probability, linear algebra and calculus.

Anurag Verma, CEO, MathLogic

This course aims to reinforce mathematical concepts that are necessary to develop a firm understanding of AI. It is a foundational course that will allow students to get up to speed with the required concepts in probability, linear algebra and calculus.

Manu Chandra, Co-founder, Chief Data Scientist, Mathlogic

TERM 2: 12 Oct - 27 Nov

This course is intended to lay the foundations for a principled understanding of machine learning. It is intended to be taken along with its associated lab which focuses on the applied aspects of Machine Learning.

Dr. Ravi Kothari

Former Chief Scientist, IBM Research India
Professor of CS, Ashoka University
Ph.D. (West Virginia University)

IBM's first Distinguished Engineer from India, Dr. Kothari has deep strategy and innovation experience. His research interests are in Neural Networks, Pattern Recognition, Machine Learning, Big Data, Analytics, Streaming Analytics, Telecom.

This course is intended to teach the students the implementation and application of popular machine learning algorithms (prior to deep learning). Along with Machine Learning it provides a comprehensive theoretical and applied understanding of Machine Learning (prior to deep learning).

Dr. Ravi Kothari

Former Chief Scientist, IBM Research India
Professor of CS, Ashoka University
Ph.D. (West Virginia University)

IBM's first Distinguished Engineer from India, Dr. Kothari has deep strategy and innovation experience. His research interests are in Neural Networks, Pattern Recognition, Machine Learning, Big Data, Analytics, Streaming Analytics, Telecom.

In this course, students acquire critical communication competencies. Students will learn how to craft content, make a persuasive presentation, and engage and influence their audience.

Amit Kumar, Former Senior Knowledge Management Officer, World Bank

In this course students get exposed to contemporary quantitative techniques for optimal decision making in deterministic as well as probabilistic settings. They are taught the basic optimization technique of linear programming. They learn an important tool of Monte Carlo simulation, and get introduced to cutting edge ideas in probabilistic modelling and stochastic optimization including decision trees, queueing, newsvendor problem, and multi-armed bandit methods.

Dr. Sandeep Juneja, Professor & Dean, Tata Institute of Fundamental Research

This course deals with grand challenge-like problems of the 21st century through the lens of engineering and technology in the context of society. It will offer the opportunity for students to develop an interdisciplinary appreciation from a technical perspective as well as from a global and historical perspective.

Dr. BL Ramakrishna, Chief Academic Advisor, Plaksha University

Inaugural Director
Grand Challenges Scholars Program
NAE

This course will give a hands on experience working on real world data problems and applications. It will look at solving data problems end to end together with showcasing powerful tools from the data science toolbox that is necessary to know in order to build and deploy models / systems end-to-end. This course will be focused on utilizing standard machine learning algorithms.

Alexander Ojala, UC Berkeley

Technical Program Manager, Blockchain Xcelerator
Sutardja Center for Entrepreneurship & Technology, UC Berkeley
M.Sc. Mathematical Statistics (Lund University)

TERM 3: 30 Nov - 8 Jan

This second course in a sequence of two courses is intended to extend the foundations built in Machine Learning I to Deep Learning and other more contemporary models. It is intended to be taken along with its associated lab which focuses on the applied aspects of Machine Learning.

Dr. Ravi Kothari

Former Chief Scientist, IBM Research India
Professor of CS, Ashoka University
Ph.D. (West Virginia University)

IBM's first Distinguished Engineer from India, Dr. Kothari has deep strategy and innovation experience. His research interests are in Neural Networks, Pattern Recognition, Machine Learning, Big Data, Analytics, Streaming Analytics, Telecom.

This course is intended to be taken along with Machine Learning II and is intended to teach the students the implementation and application of popular machine learning algorithms. Along with Machine Learning it provides a comprehensive theoretical and applied understanding of Machine Learning (prior to deep learning).

Dr. Ravi Kothari

Former Chief Scientist, IBM Research India
Professor of CS, Ashoka University
Ph.D. (West Virginia University)

IBM's first Distinguished Engineer from India, Dr. Kothari has deep strategy and innovation experience. His research interests are in Neural Networks, Pattern Recognition, Machine Learning, Big Data, Analytics, Streaming Analytics, Telecom.

Jitesh Panchal

Associate Professor of Mechanical Engineering,
Purdue University

The course will initiate with the topic, "economist's dilemma: individual versus the aggregate welfare" and then proceed to cover the fundamental theorems in development economics detailing the interventions needed for desirable outcomes. Further,

Dr. Shubhashis Gangopadhyay, Dean, Indian School of Public Policy

Managing Trustee, India Development Foundation
Ex-Director, ISI
Former Advisor - Finance Minister, Government of India

Shubhashis is associated with various international institutions such as University of Groningen, Netherlands and University of Gothenburg, Sweden. He was an Advisor to the Finance Minister, Government of India in 2008 during the global financial crisis. In Sweden, he held the prestigious Malmsten Guest Professorship in 2007 and the Bertil Danielsson Guest Professorship in 2008. He has been a member of the South Asia Chief Economist’s Advisory Council of the World Bank, Advisor to the Competition Commission of India, Member of the Board of the Centre for Analytical Finance, ISB and a member of the Bankruptcy Task Force of IPD, Columbia University. He completed his PhD in Economics from Cornell University, USA and his Bachelor’s degree from Presidency College, Kolkata.

A program designed for exploring what is really possible in achieving unprecedented business results. Grounded in the best-selling book, The Three Laws of Performance, the program is designed for attendees to apply this cutting-edge approach in their current work and life situations.

Balvinder Singh Sodhi, VANTO Group

Country Manager
Vanto Group

This course is intended to familiarize students with the opportunities and challenges associated with innovations in health care. Particular emphasis will be placed on grand challenges related to public health. Students will learn to assess opportunities for impact and commercial success in the health sector and to assess the associated technical, societal, and commercial challenges.

Dr. James J. Abbas, Arizona State University

Associate Professor
Ira A. Fulton School of Engineering
Arizona State University

This course will give you even deeper hands on experience working on real world data problems and applications. We’ll focus on deploying and monitoring deep learning models and the full data science pipeline.

Alexander Ojala, UC Berkeley

Technical Program Manager, Blockchain Xcelerator
Sutardja Center for Entrepreneurship & Technology, UC Berkeley
M.Sc. Mathematical Statistics (Lund University)

TERM 4: 11 Jan - 19 Feb

Challenge Lab is an experiential-learning course in entrepreneurship. Multidisciplinary student teams will work together on real world deliverables. Over the course of the semester, students will be expected to form a team, validate their initial ideas with users, build and launch a working prototype, and develop and present a cogent business plan.

David Law, UC Berkeley

Director, Global Academic Programs
Sutardja Center for Entrepreneurship & Technology, UC Berkeley
CEO, Venture Dojo
MBA (Arizona State University)

Alok Mittal, Co-Founder & CEO, Indifi Technologies Pvt Ltd

Co-Founder & CEO
Indifi Technologies
Founding Member
Indian Angel Network

Dr. Pradeep K. Chhibber, UC Berkeley

Professor of Political Science, UC Berkeley
Indo-American Community Chair in India Studies
Director, Institute of International Studies

This is intended to be an introductory course in NLP that will introduce the basic concepts and building blocks of NLP, enable the students to categorize a given NLP problem into its right class and thereby utilize the appropriate set of tools and techniques to solve them, equip and motivate the students to build NLP systems to solve real world problems, demonstrate how to read, critique and implement state-of-the-art NLP research publications.

Dr. Monojit Choudhury. Microsoft Research

Principal Researcher
Microsoft Research Lab
India

This course aims to develop critical reading, thinking, and writing skills that will help one engage with the world of ideas, and enable one to develop and communicate one's own ideas in a well-reasoned, lucid, and engaging manner.

Anunaya Rajhans, Ashoka University

This course is intended to familiarize students with the opportunities and challenges associated with innovations in sustainable use of energy. Students will learn to assess opportunities for impact and commercial success in the energy and to assess the associated technical, societal, and commercial challenges.

Dr. Devarajan Srinivasan, Arizona State University

Faculty Associate
Arizona State University
LLC

Dr. Atul Adya, Google

Principal Engineer
Google

TERM 5: 22 Feb - 2 Apr

This is the second segment of the Challenge Lab. Student teams will continue to develop their startup idea which will include continued customer validation and solution iteration. This second segment of the course will focus on the following topics: customer acquisition process, finance (understanding key metrics), legal & intellectual property etc.

David Law, UC Berkeley

Director, Global Academic Programs
Sutardja Center for Entrepreneurship & Technology, UC Berkeley
CEO, Venture Dojo
MBA (Arizona State University)

Alok Mittal, Co-Founder & CEO, Indifi Technologies Pvt Ltd

Co-Founder & CEO
Indifi Technologies
Founding Member
Indian Angel Network

This course is designed to introduce students to the area of product management for technology powered products. During the course, the framework of product management will be discussed along with product design and delivery techniques, followed by some practical exercises.

TBC

This is an introductory graduate-level module on human-computer interaction. The course introduces students to the field of HCI and gives them some experience in conducting experiments with human subjects. It introduces various techniques of user evaluation of user interfaces and provides some connections between Computer Science and other disciplines.

Dr. Sudheendra Hangal, CEO, Amuse Labs Ph.D Stanford University

Professor of the Practice in Computer Science, Ashoka University
Ph.D. & M.S. (Stanford University)
B.Tech. (IIT Delhi)

This course addresses issues that are central to leadership: followership, wealth creation, wealth distribution, innovation, critical thinking, cross-sector collaboration, intra-group and inter-group dynamics, creating possibilities, organizational politics, shaping the future, abundance and scarcity. It builds on the thinking found in psychology, anthropology, sociology, management, politics, economics and philosophy.

Dr. Kenwyn Smith, University of Pennsylvania

Professor
Organizational Behaviour
University of Pennsylvania

In this course, students continue to acquire critical communication competencies. Students will learn how to craft content, make a persuasive presentation, and engage and influence their audience.

Amit Kumar, Former Senior Knowledge Management Officer, World Bank

Former Senior Knowledge Management Officer
World Bank

TERM 7: 7 June - 2 July

Dr. Sudhir Dixit

Chief Strategist and Investment Advisor at Trustyfi

Created inside a new paradigm of performance, this new framework of Leadership, when learnt and applied as per the design, will have each student walk out of the course being a leader and exercising leadership in all areas of their lives. The course uses the methodologies of Ontology and Phenomenology that enable the students to experience what they learn and personally be impacted.

TBC

This design course aims to fill the gap by teaching techniques for creating effective visualizations based on principles from graphic design, visual art, perceptual psychology, and cognitive science.

Venkatesh Rajamanickam, Industrial Design Centre, IIT Bombay

Professor
Industrial Design Centre
IIT Bombay

In this course, students continue to acquire critical communication competencies. Students will learn how to craft content, make a persuasive presentation, and engage and influence their audience.

Amit Kumar, Former Senior Knowledge Management Officer, World Bank

Former Senior Knowledge Management Officer
World Bank

TERM 8: 5 July - 30 July

This session will aim for students to understand the method behind bringing machine-learning from paper-defined business case into production and be able to develop a practical methodology for efficiently setting up product development cycles. In short applying the Agile & Lean methodology to Machine-Learning.

Sebastien Focaud

Chief Data Officer
HRS Group, Germany
Ph.D. (Aix-Marseille University)
M.S. (Université Claude Bernard Lyon 1)

This course is at the intersection of law, ethics and technology. It seeks to understand how disruptive technologies are challenging the definitions of fundamental legal concepts that have guided human interactions for the last several centuries.

Apurv Mishra

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