Course literature
On this page you can find the course literature for courses given at the Department of Mathematics.
Note that this page only covers courses regularly given in English. See the Swedish version of this page for the course literature for courses given in Swedish.
Some books may be available as e-books via Stockholm University Library.
Degree projects
The course literature for all degree projects is based on scientific publications and reports within the relevant field found by the student through literature search, and literature distributed by the supervisor.
Mathematics
Here you can find the course literature for the courses in mathematics, first and second cycle. For some courses given jointly with KTH, we refer to information about course literature on KTH's web. You can see in the course catalogue if a course is given jointly with KTH.
Matematics, first cycle
| Course code | Course name | Course literature |
|---|---|---|
| MM1005 | Mathematics for Economic and Statistical Analysis | Sydsæter, Hammond, Ström & Carvajal: Essential mathematics for economic analysis. Prentice Hall. |
| MM3001 | Mathematical Methods for Economists | Sydsæter, Hammond, Ström & Carvajal: Essential mathematics for economic analysis. Prentice Hall. |
| MM5020 | Mathematics III - Abstract Algebra | Dummit & Foote: Abstract Algebra. John Wiley & Sons Inc. |
| MM5021 | Mathematics III - Foundations of Analysis | Rudin: Principles of Mathematical Analysis. McGraw-Hill. |
| MM5022 | Mathematics III - Complex Analysis | Saff & Snider: Fundamentals of complex analysis. Prentice-Hall. |
| MM5023 | Mathematics III - Combinatorics | Grimaldi: Discrete and combinatorial mathematics, Classical edition. Addison-Wesley. |
| MM5024 | Mathematics III - Logic |
Carlström: Logik. Stockholms universitet. Provided by the department. Supplementary reading: van Dalen: Logic and Structure. Springer |
| MM5025 | Mathematical modelling I | Frank Giordano: A First Course in Mathematical Modeling. Brooks Cole. |
| MM5026 | Mathematics III - Ordinary differential equations | Andersson, Böiers: Ordinary differential equations. Studentlitteratur. |
Mathematics, second cycle
| Course code | Course name | Course literature |
|---|---|---|
| MM7020 | Mathematical communication | No literature, but tips for further reading can be found on the course web. |
| MM7022 | Logic II | R. Cori, D. Lascar; Recursion Theory, Godel's Theorems, Set Theory, Model Theory. Oxford university press. |
| MM7024 | Linear Algebra and Learning from Data | G. Strang; Linear Algebra and Learning from Data. Wellesley-Cambridge Press. |
| MM7025 | Computer algebra | Cox, Little, O'Shea; Ideal, varieties, and algorithms. Springer. |
| MM7026 | Advanced complex analysis | We refer to KTH for information about course literature on this course |
| MM7027 | Dynamic Systems and Optimal Control Theory | Sontag: Mathematical Control Theory. Deterministic Finite Dimensional Systems. Springer. |
| MM7028 | Optimization | Bazaraa, Sherali & Shetty: Nonlinear programming - Theory & Algorithms. Wiley. |
| MM7029 | Mathematics of cryptography | Hoffstein, Pipher & Silverman: An Introduction to Mathematical Cryptography. Springer. |
| MM7030 | Category Theory | Leinster: Basic Category Theory. Cambridge University Press. |
| MM7031 | Enumerative combinatorics | We refer to KTH for information about course literature on this course |
| MM7032 | Spectral Geometry of Graphs | Pavel Kurasov, Spectral geometry of graphs, Birkhäuser, 2022. Open access. |
| MM7033 | Advanced algebra | Dummit & Foote: Abstract Algebra. John Wiley & Sons Inc. |
| MM7042 | Commutative algebra and algebraic geometry | Gathmann: Algebraic Geometry, lecture notes (available online) |
| MM7043 | Galois Theory | Dummit & Foote: Abstract Algebra. John Wiley & Sons Inc. |
| MM7044 | Fourier Analysis | We refer to KTH for information about course literature on this course |
| MM7045 | Graph theory | We refer to KTH for information about course literature on this course |
| MM7046 | Advanced Real Analysis I | Friedman: Foundations of modern analysis. Dover. |
| MM7048 | Set theory and metamathematics |
K. Kunen, Set Theory, 1980, North-Holland Publishing A.S. Troelstra, H. Schwichtenberg, Basic proof theory (2nd ed.), 2000, Cambridge University Press |
| MM7049 | Number theory | We refer to KTH for information about course literature on this course |
| MM7050 | Representation Theory for Finite Groups | Isaacs: Character theory of finite groups. (Available online via the University Library.) |
| MM7052 | Topology | John M. Lee: Introduction to Topological Manifolds. Springer. |
| MM7053 | Partial Differential Equations | Lawrence Evans: Partial Differential Equations, AMS, 2010. |
| MM8036 | Type Theory | Per Martin-Löf: Intuitionistic Type Theory. Bibliopolis. |
| MM8039 | Advanced Real Analysis II | Friedman: Foundations of modern analysis. Dover. |
| MM8040 | Function Theory of Several Complex Variables | J. Lebl: Tasty bits of several complex variables. |
| MM8042 | Algebraic Topology | A. Hatcher: Algebraic topology. Cambridge University Press. |
| MM8043 | Reductive Algebraic Groups | T.A. Springer: Linear algebraic groups |
Mathematical statistics
Here you can find the course literature for the courses in mathematical statistics, first and second cycle.
Mathematical statistics, first cycle
| Course code | Course name | Course literature |
|---|---|---|
| MT3002 | The Mathematics and Statistics of Infectious Disease Outbreaks | Material is provided by the department. |
| MT5009 | Introduction to Finance Mathematics | Capinski & Zastawniak: Mathematics for finance. An introduction to financial engineering. Springer. |
| MT5011 | Basic Insurance Mathematics | Material is provided by the department. Recommended supplementary reading can be found on the course web. |
| MT5012 | Stochastic Processes and Simulation II | Ross: Introduction to probability models. Academic Press. |
| MT5017 | Theory of Statistical Inference |
Held & Bové: Likelihood and Bayesian Inference. Springer. Older editions of the book are called Applied Statistical Inference. |
| MT5019 | Categorical Data Analysis | Agresti: Categorical Data Analysis. Wiley. |
Mathematical statistics, second cycle
| Course code | Course name | Course literature |
|---|---|---|
| MT7001 | Probability Theory III |
Gut: An intermediate course in probability. Springer. Andersson & Djehiche: An introduction to martingale theory. Provided by the department. |
| MT7037 | Statistical Information Theory |
Cover and Thomas: Elements of Information Theory (2nd ed). Wiley. Haykin: Neural Networks and Learning Machines (3rd ed.) Pearson Education Inc. |
| MT7040 | Networks and Epidemics | Articles and chapters handed out during the course. |
| MT7041 | Markov chains and mixing times | Levin & Peres: Markov Chains and Mixing Times: Second Edition. (Available online through the authors' webpage.) |
| MT7042 | Statistical Deep Learning | Goodfellow, Bengio, Courville: Deep Learning. MIT Press. |
| MT7043 | Brownian motion and stochastic differential equations | Øksendal: Stochastic Differential Equations. Springer. |
| MT7045 | Bayesian Methods | Carlin & Louis: Bayesian methods for data analysis. CRC Press. |
| MT7046 | Statistical Models | Sundberg: Statistical Modelling by Exponential Families. Provided by the department. |
| MT7047 | Probability Theory III | Not decided, but see older version above (code MT7001) |
| MT7049 | Statistical Learning | Hastie, Tibshirani & Friedman: The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd ed). Springer. |
| MT7050 | Unsupervised Learning |
Hastie, Tibshirani & Friedman: The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd ed). Springer. Bishop: Pattern Recognition and Machine Learning. Springer. Lee & Verleysen: Nonlinear Dimensionality Reduction. Springer. Articles. |
| MT7051 | Reinforcement Learning |
"Reinforcement Learning: An introduction", R.S. Sutton and A.G. Barto, 2nd Edition, MIT Press, Cambridge, MA (2018) (e-book available via the university library) "An Introduction to Deep Reinforcement Learning", V. François-Lavet, P. Henderson, R. Islam, M.G. Bellemare, J. Pineau, Foundations and Trends in Machine Learning: Vol. 11: No. 3-4, pp 219-354 (2018) (available for download at arxiv.org) |
| MT8001 | Statistical Consulting Methodology | Articles handed out during the course. |
Computer science and Scientific computing
Here you can find the course literature for the courses in computer science and scientific computing. For most second cycle courses, we refer to information about course literature on KTH's web - see the course catalogue.
Computer science and Scientific computing, first cycle
| Course code | Course name | Course literature |
|---|---|---|
| DA2005 | Programming Techniques | Arvestad, Helanow, Mörtberg, Sahlin: Programming Techniques, lecture notes. Provided by the department. |
| DA4004 | Introduction to Machine Learning | James, Witting, Hastie, Tibshirani and Taylor: Introduction to Statistical Learning: With Applications in Python. |
| DA4005 | Algorithms and Complexity | Cormen, Leiserson, Rivest, and Stein: Introduction to algorithms |
| DA4006 | Datastructures and algorithms |
Cormen, Leiserson, Rivest and Stein: Introduction to Algorithms. |
| MM5016 | Numerical Analysis I |
Bayen, Kong and Siauw: Python Programming and Numerical Methods (ISBN 9780128195499) Gander, Gander and Kwok: Scientific Computing - An Introduction using Maple and MATLAB (ISBN 9783319043241) |
| DA5001 | Numerical analysis II | Larsson and Thomee: Partial Differential Equations with Numerical Methods. Springer. |
Computer science and Scientific computing, second cycle
| Course code | Course name | Course literature |
|---|---|---|
| DA7062 | Applied programming for Life Science 2 | Open online materials |
| DA7066 | Programming techniques for Life Sciences | Arvestad, Helanow, Mörtberg, Sahlin: Programming Techniques, lecture notes. Provided by the department. |
Contact
- Visiting address
The student affairs office for the Department of Mathematics, on floor 3, house 1, Albano (by the elevators in zone D).
- Office hours
Drop-in on Mondays 12:00-13:00 during the term, or contact me to book a meeting.
- Phone hours
Tuesdays and Fridays 10:00-11:00.
- Irregular office hours
No drop in during the summer, next drop in is 26 August.
Phone hours cancelled 1-21 July, and 2 August.
- Visiting address
The student affairs office for the Department of Mathematics, on floor 3, house 1, Albano (by the elevators in zone D).
- Study advising in the following areas
Bachelor's Programme in Mathematics and Computer Science. Bachelor's Programme in Mathematics and Machine Learning. Courses in Computer Science and Computational Mathematics.
- Office hours
Thursdays 12.00-13.00 (during the semesters) or by appointment
- Phone hours
Mondays and Thursdays 10.00–11.00
- Irregular office hours
No phone hours 3 June-5 July.
No office hours 30 May.
Last updated: April 2, 2024
Source: Department of Mathematics