UC2ADS10 Algorithms and Data Structures
UC2ADS10 Algorithms and Data Structures
- Course description
- NQF LevelBachelor's degree (Level 6 1. Cycle)
- Area of StudyComputing
- Program of StudyApplied Data Science
- ECTS10
- CampusKristiansand, OnlinePLUS - Oslo, Online
- Course LeaderSahar Yassine
- Applied Data Science
Language of Instruction and assessment: English
May be offered on Campus and Online.
May be offered as a separate course.
Included in the following bachelor's degrees:
- Applied Data Science
This course aims to introduce a number of algorithms that can be used to solve a variety of computational problems, including data sorting and searching, and approaches to evaluating algorithmic complexity and efficiency. It will also introduce a variety of data structures to which these algorithms can be applied, including arrays, stacks, queues, trees and graphs.
The student has knowledge of
| K1 | fundamental data types and algorithms used in computing. |
|---|---|
| K2 | a selection of advanced algorithms used in computing, across a variety of subject domains. |
The student gain skills in
| S1 | ability to select and implement appropriate data structures and algorithms within practical environments to solve problems. |
|---|---|
| S2 | evaluate strengths, weaknesses and efficiency of algorithms. |
| S3 | critically reflect upon academic development and lessons learned through experience in implementing data structures and algorithms. |
The student can demonstrate
| G1 | selecting and applying a variety of data types and algorithms available to computer professionals. |
|---|---|
| G2 | present and explain key data structures and algorithms in an professional manor. |
| G3 | ability to develop insights into, and critically evaluate, current development in the field. |
- Algorithms and Algorithmic Techniques
- Fundamentals of Data Types
- Trees and Graphs
- Advanced Algorithms
- Teaching will be based on a hybrid-flexible approach. Instructor-led face-to-face learning is combined with online learning in a flexible course structure that gives students the option of attending sessions in the classroom, participating online, or doing both.
- All activities require active student participation in their own learning.
- Learning delivery methods and available resources will be selected to ensure constructive alignment with course content, learning outcomes and assessment criteria.
- Students will be taught using a mixture of guidance, self-study, and lecture material. Topics will be introduced in a series of weekly lectures. The guidance sessions will be directed practical exercises and reading in which students can explore topics with support from a teacher. This material will also require students to self-manage their time to ensure tasks are completed and the theory is fully understood. This will allow the students to fully engage with lectures and with their peers.
- Learning resources are available in the LMS and include, but is not limited to:
- literature and online reading material (essential and recommended)
- streams, recordings and other digital resources, where applicable
- video conferencing and communication platforms, if applicable
- tools, software and libraries, where applicable
- Students must have access to an internet connection, and suitable hardware.
- Accessing live streams and virtual laboratories requires a minimum broadband connection of 2Mbps (4Mbps recommended).
- Students working on their own laptop/computer are required to acquire appropriate communications software, e.g., webcam, microphone, headphones.
The reading list for this course and any additional electronic resources will be provided in the LMS.
| Activity | Duration |
|---|---|
Teacher-led activity | 24 |
Teacher-supported work | 48 |
Self-study | 178 |
This course has three (3) exams contributing towards the overall and final grade of the course.
All exams must be assessed as passed to receive the final Course Grade.
| Form of assessment | Grading scale | Grouping | Duration of assessment |
|---|---|---|---|
Online Test | A-F | ||
Online Test | A-F | ||
Online Exam | A-F |