General Info


Teaching Assistants

Schedule Find the detailed plan for exercises classes, online walkthroughs, and lectures here. The plan will be updated weekly.



The weekplan below is preliminary It may be updated during the course.

Week Topics Slides Weekplans Materials
Warmup: Preparation, Programming Prerequisites, and Puzzles. Warmup Survival Guide · Programming Prerequisites
Basic Concepts I: Introduction, Algorithms, Data Structures, Peaks. 1x1 · 4x1 Introduction CLRS chap. 1
Basic Concepts II: Searching, Sorting. 1x1 · 4x1 Searching and Sorting CLRS chap. 2
Basic Concepts III: Complexity, Asymptotic Notation, Empirical Analysis. 1x1 · 4x1 Analysis of Algorithms CLRS chap. 3
Data Structures I: Stack, Queues, Linked Lists, Trees. 1x1 · 4x1 Introduction to Data Structures CLRS intro to part III + chap. 10 + IPP chap. 4.3
Graph Algorithms I: Undirected Graphs, Representation, Searching, Modelling. 1x1 · 4x1 Introduction to Graphs CLRS intro to part VI + chap. 20.1-20.4 + appendix B.4-B.5. + CSES chap. 11-12.
Graph Algorithms II: Directed Graph, Topological Sorting, Implicit Graphs. 1x1 · 4x1 Directed Graphs CLRS intro to part VI + chap. 20.1-20.4 + appendix B.4-B.5 + CSES chap. 11-12.
Data Structures II: Priority Queues, Heaps. 1x1 · 4x1 Priority Queues and Heaps CLRS chap. 6 + appendix B.5
Data Structures III: Union Find, Dynamic Connected Components. 1x1 · 4x1 Union Find CLRS chap. 19 except 19.4 + Algorithms, 4ed. chap. 1.5
Graph Algorithms III: Minimum Spanning Trees, Prims' Algorithm, Kruskal's Algorithm. 1x1 · 4x1 Minimum Spanning Trees CLRS chap. 21 + CSES chap. 15.
Graph Algorithms IV: Dijkstra's Algorithm, Shortest Paths in Weighted Graphs, Shortest Paths in DAGs. 1x1 · 4x1 Shortests Paths CLRS chap. 22 except 24.1 and 24.4 + CSES chap. 13.
Data Structures IV: Binary Search Trees, Balanced Search Trees. 1x1 · 4x1 Search Trees CLRS chap. 12. + Algorithms, 4ed. chap. 3.3
Course Wrap-Up: Questions, Exam, and Algorithms Courses and Projects.

Hand-in Exercises

The course features a number of non-mandatory/voluntary hand-in exercises posted throughout the semester and evaluated by TAs. The guidelines for preparing these exercises are as follows.

Mandatory Exercise

The course has a single individual mandatory exercise towards the end of the course.


The exam is a written exam on the digital exam platform at DTU. The exam consists of 2 parts:

For practical information about the exam e.g., time and place, please contact AUS.

Frequently Asked Questions

What programming and mathematics requirements do I need for the course? In general, you need an introductory course in programming and mathematics. We use basic programming extensively to implement algorithms and discrete mathematics to analyse algorithms. See the materials on this page to clarify how this applies to your current competencies in programming and mathematics.

What is the language of the course? The official language of the course is English. Hence the spoken language in lectures and the exam is in English. There are Danish exercise classes and your are free to hand in the exercises and the exam in Danish.

What is the programming language used in the course? You can use the following standard imperative programming languages: Python, Java, C, and C++.

I need to quickly refresh my programming skills. What do you recommend? We suggest the book "Introduction to Programming in Python", Sedgewick and Wayne (or the Java version "Introduction to Programming in Java"). The book is compact, concise, and focused on the core technical aspects of programming used in algorithms. The books covers essentially all relevant material for the course in chapter 1.

Which supplementary books/materials do you recommend? We suggest the following:

When and where is the exam? Please see the DTU exam schedule.