MABY5345 Water Infrastructures and Sensor Networks Emneplan

Upon successful completion of the course, the student should display the following:

Knowledge:

The student has:

• knowledge of the main properties of road construction components
• deep understanding of life cycle assessment and life cycle cost of roads
• in-depth knowledge about the principles of construction, maintenance and rehabilitation of flexible pavements

Skills:

The student is capable of :

• applying theoretical and practical knowledge in pavement design
• applying management techniques to improve the life cycle and reduce costs
• understanding the road construction materials and how they are affected by the environment
• assessing key performance indicators for various pavements to determine maintenance and rehabilitation options

General competence:

The student is able to:

• perform sustainable material choices for the different pavement layers
• critically evaluate the road performance specifications and transport asset management
• apply advanced concepts and theories to evaluate pavement design options and management

Lectures and assignments.

Digital lectures will be recorded, and the material will be made available to students on CANVAS.

The following requirements are mandatory in order to take the exam:

• Part 1: At least 1 of 2 individual assignments approved and/or participate in 1 of 2 excursion.
• Part 2: At least 1 of 2 individual assignments approved.

Individual written examination under supervision of 3 hours.

The exam have 2 part. Part 1 is related to "Pavement Design" and Part 2 is related to "Pavement Rehabilitation"

Examination results can be appealed.

In the event of a postponed exam, an oral exam can be used instead. Examination results cannot then be appealed.

A calculator that cannot be used to communicate with others and Excel will be available during the exam.

Much of the work in students´ scientific or practical work both during their studies and later in their professional life will require a good understanding of research methods and analysis tools and techniques. This course will provide the knowledge and skills necessary for planning and conducting engineering research, for processing data and for analysing results, with special focus upon the most common statistical techniques and data-driven computational techniques as some of the most common tools used in these areas.

One internal examiners. External examiners are used with on regular basis.

Berthe Dongmo-Engeland

This course features 3 optional preparatory weeks and 9 weeks of lectures that provide both theoretical and practical content and hands-on experience. The students will be given one mandatory project task to work in groups during the semester.

The preparatory weeks are optional and is for supporting the students who need to build up or renew Python/R programming skills, also using tools like Notebooks for presenting with embedded code. Notebooks will be used widely in lectures, exercises and in the mandatory project.

Students are required to complete one mandatory project assignment in allocated time and get it approved. Students who fail to meet the coursework requirements can be given up to one re-submission opportunity. (more details in Canvas).

1) A final course report in predefined areas prepared in groups of 2 (or more) students, approx. 15 - 20 pages (excluding appendices, but including code and calculations), weighted 60%.

2) Oral presentation and examination of the report, (in the same group as part 1) 15 minutes + 5 minutes Q&A, weighted 40%.

Both assessment parts must be awarded a pass grade (E or better) to pass the course. 

Assessment parts: 1) can be appealed, 2) cannot be appealed