Lectures related to PhD Program at EPFL: EDIC Overview and Opportunities

PhD Program in Computer Science: EDIC Overview

Gives an overview of the EPFL doctoral program in Computer Science, emphasizing its international recognition and alumni success.

Computer Science Evolution: Moore's Law to Multicores

Covers the evolution of computer science, from Moore's Law to multicores, research on parallelizing Lisp code, experiences at UC Berkeley and Microsoft Research, and insights on cloud computing and faculty management.

EDIC Program Overview

Covers the EPFL Doctoral Program in Computer & Communication Sciences, highlighting industry connections, academic achievements, and campus life.

EPFL Computer Science Overview

Covers EPFL's Computer Science School, faculty expertise, EDIC program requirements, and post-PhD career paths.

EPFL IC Faculty Overview

Gives an overview of EPFL's School of Computer and Communication Sciences, highlighting its top-ranked faculty and research areas.

PhD Program Overview: EPFL Computer Science

Provides an overview of the PhD program in Computer Science at EPFL, focusing on research areas, industrial collaborations, and diverse career paths.

Visual Computing: Overview and Updates

Provides an overview of visual computing and updates on the School of IC.

Financial Modelling: Understanding Financial Data

Explores the importance of financial data, including P&L, cash flow, and balance sheet, and the key concepts for startups.

Calcul and algorithms: first algorithm example

Covers finding the maximum value in a list and related problems.

UVS: Online Tutoring Certificate

Introduces the online tutoring certificate program at UVS and its impact on distance education.

State Space Models: Expressivity of Transformers

Covers state space models and the expressivity of transformers in sequence copying tasks.

History and Definition of Computer Science

Explains the basic concepts of computer science and their interaction.

Master Programs Overview

Covers the Master programs at EPFL, including curriculum, courses, projects, and internships.

Algorithmic Fundamentals

Covers the binary system, basic concepts, sequences, loops, branching logic, variables, and algorithm translation.

Control Flow in Python: Conditional Statements and Loops

Covers control flow in Python, focusing on conditional statements and loops.

Data-Driven Insights: NLP and AI Applications

Explores building OS for heterogeneous hardware, data movement efficiency, AI advancements, and NLP challenges.

Neural Interfaces: Circuits and Electronics

Explores neural interfaces, merging Engineering, Neuroscience, and Computer Science.

Programming Basics: Variables, Assignments, and Control Structures

Introduces programming basics, focusing on variables, assignments, and conditional statements.

Computer Science Fundamentals

Concludes the first week, focusing on computer science fundamentals for upcoming chapters.

Calcul and Algorithms: What is an Algorithm?

Covers the basics of algorithms in computer science, including their formalization and complexity.