CEG8435 : Data Collection, Survey Methods & Evaluation
- Offered for Year: 2024/25
- Module Leader(s): Professor Phil Blythe
- Owning School: Engineering
- Teaching Location: Newcastle City Campus
- Capacity limit: 50 student places
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 2 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
| European Credit Transfer System | |
Aims
The aim of the module is to make the student capable of collecting the relevant data for understanding, the individual and the performance and operation of the transport system and related sectors.
The module covers general type of data and survey methods (traditionally used in transport and in other fields of engineering, economics, marketing, psychology). The module also introduces the students to real-world data collection from sources such as traffic management centres, smart cities (Urban Observatory) and trials/demonstrations of new techniques or technologies.
Students will learn a number of type of data used to study behaviour, attitudes, acceptance and operation in the real world to support trials, demonstrations and living labs and their evaluation.
Understand the need for data to provide evidence to evaluate a scheme or how transport is operating to inform business cases, safety cases and operation of transport systems and services.
The theoretical part is supported by an extensive empirical work where students have the possibility to practically build their own survey and experience collecting the data.
The module also provides information on how to do a descriptive analysis of the data collected and how to write a report for policy makers or industrial clients
Outline Of Syllabus
The aim of the module is to make the student capable of collecting the relevant data for understanding, the individual and the performance and operation of the transport system and related sectors.
The module covers general type of data and survey methods (traditionally used in transport and in other fields of engineering, economics, marketing, psychology). The module also introduces the students to real-world data collection from sources such as traffic management centers, smart cities (Urban Observatory) and trials/demonstrations of new techniques or technologies.
Students will learn a number of type of data used to study behavior, attitudes, acceptance and operation in the real world to support trials, demonstrations and living labs and their evaluation.
Understand the need for data to provide evidence to evaluate a scheme or how transport is operating to inform business cases, safety cases and operation of transport systems and services.
The theoretical part is supported by an extensive empirical work where students have the possibility to practically build their own survey and experience collecting the data.
The module also provides information on how to do a descriptive analysis of the data collected and how to write a report for policy makers or industrial clients
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 1 | 5:00 | 5:00 | Lectures |
| Guided Independent Study | Assessment preparation and completion | 1 | 50:00 | 50:00 | Group report of 3/4 students. Report will be evaluated. |
| Scheduled Learning And Teaching Activities | Practical | 4 | 1:00 | 4:00 | Computer practical’s included demo’s &sessions for completion of assessed work whilst under guidance |
| Scheduled Learning And Teaching Activities | Practical | 5 | 3:00 | 15:00 | Exercises under the guidance of the lecturers |
| Scheduled Learning And Teaching Activities | Small group teaching | 1 | 2:00 | 2:00 | Q&A session |
| Guided Independent Study | Independent study | 1 | 16:00 | 16:00 | Individual report. Report will be evaluated. |
| Scheduled Learning And Teaching Activities | Module talk | 4 | 2:00 | 8:00 | Lectures |
| Total | 100:00 |
Teaching Rationale And Relationship
Teaching and learning of this module is done by a combination of lectures, computer demonstrations and practical work, guest lectures, coursework and reading materials. This is in line with the learning outcomes. Lectures, guest lectures and coursework are intended to provide the theoretical background, computer demonstrations allow students to learn the software and the codes to build the mathematical model. Practical work allows students to learn how to link the theory with the practice (how to use the theory in practice) and help developing problem solving skills.
Reading materials helps developing critical, independent and innovative thinking.
Assessment Methods
The format of resits will be determined by the Board of Examiners
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Report | 2 | M | 60 | Report groupwork of 3-4 people that describes theoretical and practical work carried out to collect data for an assigned problem (a number of different problem cases will be given so each group is not performing the same task |
| Report | 2 | M | 40 | Each student will receive a question based on the group report and will write to short report addressing the question. |
Assessment Rationale And Relationship
The form of examinations (group written report and individual short report addressing a specific question) are intended to test if students acquired the intended skills in terms of understanding and master the theory behind data collection and being able to apply the theory in practice. In particular:
(1) Data collection involves major work that is typically performed in team. This is why the practical work and the report is a group work, though teams will be small (3-4 people) to make it easier for the students to organise the work.
(2) The short report allows testing students’ ability to address specific questions related to the work done. The short reports are individuals, allowing also identifying the contribution of each student within the team.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CEG8435's Timetable