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Specialization Course in Computer Science - Data Science
|Master programme in||
|Type of activity||
Read about the Master Programme and find the Study Regulations at ruc.dk
|REGISTRATION AND STUDY ADMINISTRATIVE|
Sign up for study activities at STADS Online Student Service within the announced registration period, as you can see on the Study administration homepage. When signing up for study activities, please be aware of potential conflicts between study activities or exam dates. The planning of activities at Roskilde University is based on the recommended study programs which do not overlap. However, if you choose optional courses and/or study plans that goes beyond the recommended study programs, an overlap of lectures or exam dates may occur depending on which courses you choose.
|Number of participants||
|Responsible for the activity||
Henning Christiansen (firstname.lastname@example.org)
Jens Classen (email@example.com)
|Head of study||
Henrik Bulskov (firstname.lastname@example.org)
IMT Registration & Exams (email@example.com)
Specialization within one of the core specialization areas of the program. The student must acquire knowledge, skills and competences in order to translate theories, methods and solutions ideas into their own practice in relation to software development.
1) Specialization course with a focus area towards algorithms, programming frameworks and complex IT systems. 2) Specialization course with a focus area towards data science, artificial intelligence and business intelligence. 3) Specialization course with a focus area within e.g. internet of things, robotics and virtual technologies.
|Detailed description of content||
In this specialization, we will approach data science in a systematic way and focus on key aspects such as gradient decent learning based on lost functions, the bias-variance (or underfitting/overfitting) trade-off, model selection, model evaluation, explainability, sampling techniques, reinforcement learning, Bayesian approaches, Deep Learning, etc.
|Course material and Reading list||
Will be announced on Moodle.
|Overall plan and expected work effort||
|Evaluation and feedback||
|Overall learning outcomes||
After completing this course, students will be able to:
|Form of examination||
Individual oral exam based on a written product..
The character limit of the written product is maximum 48.000 characters, including spaces.
The character limits include the cover, table of contents, bibliography, figures and other illustrations, but exclude any appendices.
Time allowed for exam including time used for assessment: 20 minutes.
The assessment is an overall assessment of the written product(s) and the subsequent oral examination.
Permitted support and preparation materials for the oral exam: All.
Assessment: 7-point grading scale.
Moderation: Internal co-assessor.
|Form of Re-examination||
Samme som ordinær eksamen / same form as ordinary exam
|Type of examination in special cases||
|Examination and assessment criteria||
The assessment will be based on the extent to which the student: