UC2MA205 Mathematics 2
UC2MA205 Mathematics 2
- Course description
- NQF LevelBachelor's degree (Level 6 1. Cycle)
- Area of StudyComputing
- Program of StudyDigital Forensics and Incident Response
- ECTS05
- CampusKristiansand, OnlinePLUS - Bergen, OnlinePLUS - Oslo, Online
- Course LeaderEmlyn Butterfield
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:
- Digital Forensics and Incident Management
This course aims to enhance a student’s mathematical understanding and apply mathematical concepts and techniques to computing-related scenarios. The course outcomes include knowledge of statistical interpretation of data, probability measurement in datasets, and hypothesis testing. Students will gain skills in data interpretation, dealing with data uncertainty, and defining and evaluating hypotheses. Furthermore, they will demonstrate their ability to apply mathematics to solve domain-specific problems and present solutions clearly and appropriately.
The student has knowledge of
| K1 | statistical interpretation of provided data. |
|---|---|
| K2 | probability measurement within a range of datasets. |
| K3 | hypothesis testing and its application to the wider subject field. |
The student gain skills in
| S1 | statistical interpretation of data and significance of the data analysis in terms confidence and P values. |
|---|---|
| S2 | probability measurement to deal with uncertainty of data. |
| S3 | define Hypothesis and its evaluations. |
The student can demonstrate
| G1 | the application of mathematics to solving domain specific problems. |
|---|---|
| G2 | clearly and appropriately present solutions to a variety of mathematics problems and challenges. |
- 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.
UC1MA110 Mathematics 1, or equivalent course(s).
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 | 24 |
Self-study | 77 |