Course code INF221

INF221 Computer Science for Data Scientists

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Showing course contents for the educational year 2022 - 2023 .

Course responsible: Fadi al Machot
ECTS credits: 10
Faculty: Faculty of Science and Technology
Teaching language: EN
(NO=norsk, EN=Engelsk)
Teaching exam periods:
This course starts in the spring parallel. This course has teaching and exam during the spring parallel.
Course frequency: Annually
First time: Study year 2022-2023
Course contents:
This subject provides knowledge about mathematical foundations for the analysis of algorithms, central algorithms, and data structures, methods for the analysis of performance, and the proof of correctness of such algorithms and data structures, as well as about key problem-solving strategies. The subject furthermore provides an introduction to the applications of the proposed topics in data science, e.g., reinforcement learning, decision trees, and software engineering.
Learning outcome:
Upon completion of this course, you will be able to analyze the performance and correctness of algorithms and data structures, evaluate which data structures are suitable for given purposes, and knowledge essential problem-solving strategies. You can also apply these techniques within data science.
Learning activities:
Course material is presented and discussed in lectures. In tutoring sessions, you perform analyses under supervision. You will be graded based on a written exam, quizzes, and exercises.
Teaching support:
Guidance during tutoring sessions.
Syllabus:
Will be announced ahead of the course start.
Prerequisites:

INF120 or comparable programming competence, preferably in Python.

MATH111 or a comparable calculus course.

Recommended prerequisites:
INF200
Mandatory activity:
Approved mandatory exercises. Details will be given at the beginning of the course.
Assessment:
Combined evaluation: Quizzes during the lectures (10%) and 3 hour written exam (90%). A-F.
Nominal workload:
250 hours: Lectures 13x4 hours = 52 hours, exercises under supervision 13x2 hours = 26 hours, work on mandatory activity 100 hours, self study 72 hours
Entrance requirements:
Special requirements in Science.
Reduction of credits:
10 credits with INF220 taught before 2010.
Type of course:
52 hours of lectures, 26 hours of exercises
Examiner:
The external examiner approves quizzes and the final exam as well as evaluation guidelines. The external examiner reviews the internal examiner's examination results by correcting a random sample of candidate's exams as a calibration according to the Department's guidelines for examination markings.
Examination details: Combined assessment: Letter grades