Math 214: Differential Topology

UC Berkeley, Fall 2025

Instructor

Michael Hutchings
hutching@math.berkeley.edu.
Office: 923 Evans.
Tentative office hours: Wednesday 9:00-12:00.

Textbooks

The official textbook for the course is John Lee, Introduction to smooth manifolds, second edition. (The first edition presents the material in a different order and omits some key topics such as Sard's theorem.) Legal free download here from the UCB computer network.

The following are some other books which I recommend, in order of increasing difficulty. These are classics; I read all of them (except Munkres) when I was a student and really enjoyed them.

Syllabus

The basic plan is to cover most of the material in chapters 1-19 of Lee's book (adding a few interesting things which are not in the book, and some bits from chapters 20 and 21). My goal is for you to understand the basic concepts listed below and to be able to work with them. This is all pretty essential material for graduate level geometry and topology. In class I will try to introduce the main ideas, explain where they come from, and demonstrate how to use them. I will tend to leave technical lemmas for you to read in Lee's book (or not).

Homework

Homework assignments will be posted here every week or two. The reader will give feedback on selected questions. A homework assignment will receive full credit if you make a reasonable effort and answer at least most of the questions. You are encouraged to collaborate on homework. One homework assignment can be missed without penalty.

Exams and grades

Course grades will be determined as follows: Incomplete grades can be given only if both (1) an unanticipated event such as illness prevents you from completing the course, and (2) you are otherwise passing the course with a grade of C or above.

Electronic devices and AI

Electronic devices should not be used in class except as needed for learning the class material and when this does not distract other students. Appropriate uses of devices include taking lecture notes electronically, and looking up relevant mathematics. However if you have a question, it might be better to simply ask the question out loud, as other students may be wondering the same thing.

Use of ChatGPT and similar tools for graded work is not allowed. You can use these tools for studying, although I generally discourage this, as these AI tools currently make many errors (some blatant and some subtle), and when they answer questions correctly they often spare you from doing the work that you need to do in order to learn. There are also various ethical concerns with their use (e.g. they may be stealing human work or have an excessive impact on the environment). However AI will probably play some nontrivial role in mathematical work in the future. For now it can be fun (after you have learned the material) to test AI on math questions and see how it does.

DSP accommodations

Students requiring DSP accommodations should have a letter sent from the DSP office to the instructor, and should contact the instructor and/or reader to make any necessary arrangements.

Academic honesty

On homework, all collaborators and external sources must be explicitly acknowledged. Exams are expected to be taken within the time limits, and without aid from other people, books or notes, or the internet, unless explicitly allowed by the rules of the exam. The code of student conduct may be found here.

Lecture summaries

After each lecture, brief summaries will be posted here.