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Course information
Data Science & AI
Computer Science
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Previous exams and documents
Computer Science
Computer Science
Year 1
Computer Science — Year 1
Period 1
Discrete Mathematics
Introduction to Computer Science
Procedural Programming
Period 2
Calculus
Logic
Objects in Programming
Period 4
Computer Architecture
Data Structures and Algorithms
Linear Algebra
Period 5
Algorithmic Design
Databases
Statistics
Data Science & AI
Data Science and Artificial Intelligence
Year 1
Year 1
Project 1-1
Project 1-2
Block 1
Discrete Mathematics
Introduction to Data Science and Artificial Intelligence
Procedural Programming
Block 2
Calculus
Logic
Objects in Programming
Block 4
Data Structures and Algorithms
Linear Algebra
Principles of Data Science
Block 5
Computational and Cognitive Neuroscience (previously KRCP)
Numerical Methods
Software Engineering
Year 2
Year 2
Project 2-1
Project 2-2
Honours Programme
Block 1
Databases
Graph Theory
Probability and Statistics
Block 2
Machine Learning
Reasoning Techniques
Simulation and Statistical Analysis
Block 4
Human Computer Interaction and Affective Computing
Mathematical Modelling
Natural Language Processing
Block 5
Game Theory
Introduction to Image and Video Processing
Linear Programming
Philosophy & Artificial Intelligence
Year 3
Year 3
Bachelor's Thesis
Project 3-1
Study Abroad
DKE Honours Programme — KE@Work (3-1)
Block 1
Prolog
Robotics and Embedded Systems
Semantic Web
Software and Systems Verification
Block 2
Introduction to Bio-Informatics
Logic for Artificial Intelligence
Parallel Programming
Quantum Computation
Recommender Systems
Secure Web Applications
Block 4
Data Analysis
Intelligent Systems
Operations Research Case Studies
Master AI
Artificial Intelligence
Year 1
Year 1
Research Project MAI 1
Research Project MAI 2
Block 1
Foundations of Agents
Intelligent Search & Games
Block 2
Advanced Concepts in Machine Learning
Multi-Agent Systems (Elective)
Block 4
Algorithms for Big Data (elective)
Autonomous Robotic Systems
Building and Mining Knowledge Graphs (elective)
Dynamic Game Theory
Block 5
Computer Vision (elective)
Deep Learning (elective)
Information Retrieval and Text Mining (elective)
Planning and Scheduling (elective)
Year 2
Year 2
Master DSDM
Data Science for Decision Making
Year 1
Year 1
Block 1
Data Mining
Block 2
Model Identification and Data Fitting
Block 4
Algorithms for Big Data
Block 5
Planning And Scheduling
Year 2
Year 2
Useful Information
Useful Information
Housing Guide
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Surviving DACS
Locations of DKE
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DKE Honours Programme — KE@Work (3-1)
