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Algebraic Geometry (AlgGeo)
Provider: Faculty of Science
Activity no.: 5580-22-07-31
Enrollment deadline: 25/04/2022
Place
Department of Mathematical Sciences
Date and time
25.04.2022, at: 08:00 - 24.06.2022, at: 16:00
Regular seats
50
ECTS credits
7.50
Contact person
Nina Weisse E-mail address: weisse@math.ku.dk
Enrolment Handling/Course Organiser
Søren G E-mail address: galatius@math.ku.dk
Written language
English
Teaching language
English
Semester/Block
Block 4
Scheme group
C
Exam form
Oral examination
Exam form
30 minutes preparation, 30 minutes oral examination including grade determination
Exam details
Exam registration requirements: To be eligible to take the exam the student must have handed in the mandatory homework assignment, and this must have been approved. Aid: Only certain aids allowed. All aids allowed for the preparation. For the oral exam, the student may bring 1 A4 sheet of notes.
Grading scale
7 point grading scale. For PhD students: Passed / Not Passed
Course workload
Course workload category
Hours
Lectures
35.00
Exam
1.00
Exercises
21.00
Preparation
149.00
Sum
206.00
Content
Algebraic Geometry is the study of geometric structures arising from solution sets of polynomial equations, and forms a central part of modern mathematics. It has numerous applications, ranging from number theory to theoretical physics.
The course will be an introduction to Algebraic Geometry, and will cover the following topics:
- Algebraic sets, affine and projective varieties, fundamental properties of varieties.
- Sheaves and locally ringed spaces.
- Morphisms of varieties, birational maps and blow-ups.
- Smoothness and singularities.
- Hilbert polynomials and Bezout's theorem.
Learning outcome
Knowledge: To display knowledge and understanding of the course topics and content at a level suitable for further studies in Algebraic Geometry.
Skills: At the end of the course the student is expected to be able to follow and reproduce arguments at a high abstract level corresponding to the contents of the course.
Competences: At the end of the course the student is expected to be able to apply basic techniques and results to concrete examples.
Teaching and learning methods
5 hours lectures and 3 hours exercises each week for 7 weeks
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