NMAA13036U Introduction to Mathematical Logic
Volume 2013/2014
Education
MSc Programme in
Mathematics
Content
First order logic,
languages, models and examples. Recursion theory, computable
functions on the natural numbers, Turing machines, recursively
enumerable sets and Turing degrees. Gödel's incompleteness
theorems.
Learning Outcome
Knowledge: By the end
of the course, the student is expected to be able to explain the
concepts of: a first order language; of a model of a first order
language; of formal deduction; of a computable relation and
function; and finally, the student should be able to explain the
meaning consistency and incompleteness of a theory, in particular
as it relates to Peano Arithmetic.
Skills: By the end of the course, the student must be able to define the satisfacation relation, account for the axioms of the deductive system, define the notion of recursive function, and prove that a repository of common functions and relations are recursive, including the coding of basic syntactical notions. The student must be able to prove the key theorems of the course, such as the deduction theorem, the soundness theorem, and the first incompleteness theorem of Gödel.
Competences: Use of first order languages and structures in mathematics, the formalization of proofs, the coding of syntactical notions in arithmetic. To explain the incompleteness phenomenon, and the method of diagonalization.
Skills: By the end of the course, the student must be able to define the satisfacation relation, account for the axioms of the deductive system, define the notion of recursive function, and prove that a repository of common functions and relations are recursive, including the coding of basic syntactical notions. The student must be able to prove the key theorems of the course, such as the deduction theorem, the soundness theorem, and the first incompleteness theorem of Gödel.
Competences: Use of first order languages and structures in mathematics, the formalization of proofs, the coding of syntactical notions in arithmetic. To explain the incompleteness phenomenon, and the method of diagonalization.
Teaching and learning methods
4 hours lecture and 3 hours
tutorials per week for 7 weeks.
Workload
- Category
- Hours
- Colloquia
- 21
- Exam
- 40
- Excursions
- 2
- Guidance
- 4
- Lectures
- 28
- Preparation
- 70
- Project work
- 20
- Theory exercises
- 21
- Total
- 206
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Exam
- Credit
- 7,5 ECTS
- Type of assessment
- Oral examination, 30 minThe final exam is an oral exam lasting 30 minutes.
- Exam registration requirements
- To be eligible to take the final exam the student must have handed in the 2 mandatory homework assignments, and these must both have been approved and have received a passing grade.
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Several internal examiners
Criteria for exam assesment
The student must in a satisfactory way demonstrate that he/she has mastered the learning outcome of the course.
Course information
- Language
- English
- Course code
- NMAA13036U
- Credit
- 7,5 ECTS
- Level
- Full Degree MasterBachelor
- Duration
- 1 block
- Placement
- Block 4
- Schedule
- C
- Course capacity
- No limit
- Continuing and further education
- Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Mathematical Sciences
Course responsibles
- Asger Dag Törnquist (asgert@math.ku.dk)
Phone +45 35 32 07 57, office
04.2.17
Lecturers
Asger Törnquist
Saved on the
30-04-2013