Course syllabus
Algorithmics is the systematic study of the design and analysis of algorithms.
This 30 point course covers all the fundamentals of discrete mathematics, data structures, and algorithms that a data scientist requires to do research.
Teaching Staff:
- Prof. Bakh Khoussainov (Lecturer weeks 1-6); Office: Short Street Building 810
- Dr. Michael J. Dinneen (Coordinator/Lecturer weeks 7-12); Office 303-425 [Will try to be in my office during afternoons, when not teaching.]
- Tutor: Roger Su <rsu050@aucklanduni.ac.nz>
- (Class Reps)
Taught:
Tentative Lecture Schedule:
Week 1: Logic (Boolean formula, predicates/propositions)
Week 2: Proofs (induction, contradiction, adversary arguments)
Week 3: Sets, Functions, and Counting
Week 4: Intro Analysis (big Oh/Omega/Theta, limit rules, properties)
Week 5: Tree/DAG/Graph Abstract Data Types (representations, basic algorithms: BFS/DFS,..)
Week 6: Overflow + Midterm test
Week 7: Greedy algorithms
Week 8: Divide-and-Conquer
Week 9: Dynamic Programming
Week 10: Network Flow (min-cut and max-flow duality)
Week 11: Intro NP-completeness (polynomial-time reductions)
Week 12: Overflow and review
Course Assessment (Updated April 2020):
Assignments at 20% x 2
Midterm test at 20% (Bakh)
Final exam 40% (Michael)
Coronavirus-related information:
The University has developed a website that contains a range of information about the virus and the University’s response, including Frequently Asked Questions.
UoA Coronavirus Information: Link
We encourage you to read the information on this website and hope that this answers your questions.
If you require further information, there is a link to an online form on the website – fill out this form with your questions and a staff member from the University will be in contact with you as soon as possible to provide a response.
UoA Coronavirus Query Form: Link
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Academic Integrity: https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/academic-integrity-copyright.html
Aegrotats and compassionate passes: https://www.auckland.ac.nz/en/students/academic-information/exams-and-final-results/during-exams/aegrotat-and-compassionate-consideration.html
Canvas help: https://www.canvas.ac.nz
Language tests & support, DELNA / ELSAC: http://www.delna.auckland.ac.nz/en.html
Course summary:
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