Lectures related to Modularity: Community Detection Algorithms

Optimization with Constraints: KKT Conditions

Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.

Social and Information Networks: Structure

Explores the structure of social and information networks, focusing on giant components, clustering, tie formation, and network connectivity.

Graph Mining: Social Networks Analysis

Explores graph mining in social networks, covering modularity algorithms and community detection.

Energy Systems Optimization

Explores energy systems modeling, optimization, and cost analysis for efficient operations.

Optimization with Constraints: KKT Conditions

Covers the optimization with constraints, focusing on the Karush-Kuhn-Tucker (KKT) conditions.

Optimization Methods: Theory Discussion

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

Network Analysis: Methods and Applications

Explores network analysis methods, operationalizing concepts, historical applications, and challenges in treating time within networks.

Optimization methods

Covers optimization methods, focusing on gradient methods and line search techniques.

Semi-Definite Programming

Covers semi-definite programming and optimization over positive semidefinite cones.

Introduction to Optimization and Operations Research

Covers fundamental concepts of optimization and operations research, exploring real-world examples and key topics over a semester.

Graph Mining: Modularity and Community Detection

Explores community detection in graphs using modularity and edge betweenness.

Predicting Completion Time: Optimization Strategies

Discusses predicting completion time and optimizing activities through efficient orchestration strategies and experiment-based completion curve predictions.

Social Network Analysis: Friendship Relations

Introduces social network analysis through Python code modeling friendship relations.

Degree of Freedom Analysis

Explores degree of freedom analysis, redundancy, and data reconciliation in process modeling and optimization.

Graph Coloring: Theory and Applications

Explores graph coloring theory, spectral clustering, community detection, and network structures.

Rhino to AutoCAD Transition

Explores the transition from Rhino to AutoCAD, focusing on tools and features.

Optimization in Large Search Spaces: GPU-Accelerated Join Order

Explores GPU-accelerated join order optimization in large search spaces, leveraging graph topology to reduce computational overheads.

Optimization Principles

Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.

Optimisation Strategies: Energy Systems Modelling and Optimization

Explores solving strategies for energy system optimization problems and different types of optimization approaches.

Optimization Programs: Piecewise Linear Cost Functions

Covers the formulation of optimization programs for minimizing piecewise linear cost functions.