赫瑞瓦特大學(xué)

Overview

This course offers broad-based training in modern, pure and applied mathematics, together with a sound knowledge of key areas in contemporary statistics. It allows students to study both mathematics and statistics courses in each year of the course. A blend of compulsory and optional courses in mathematics ensures a broad knowledge base, and the statistics course offers additional expertise in data analysis, rational decision making, and the modelling of random behaviour. The course develops valuable transferable skills in numeracy, analytical and logical reasoning and problem solving which lead to a wide variety of possible careers.

The principal aims of the programme are to: ? provide high-quality undergraduate education in a wide range of subjects in modern mathematics and statistics ? enable students to develop detailed knowledge and critical understanding of both theoretical and applied elements of mathematics and statistics ? provide students with training and practical experience of modelling, analysing and interpreting mathematical and real-world problems ? enable students to communicate and work effectively with peers and academic staff, demonstrating appropriate levels of autonomy, initiative, and responsibility ? provide students at the undergraduate level with the opportunity to plan and write a dissertation requiring detailed and critical understanding in an area of statistics ? equip students with the grounding in mathematics and statistics necessary to go onto to further study or straight into graduate jobs.

Teaching and Learning

The following teaching methods are used: lectures, tutorials, computing laboratory work, coursework, projects. Teaching on the programme is student-focussed, with students encouraged to take responsibility for their own learning and development. In addition, students learn through structured group work in problems solving, collaborative student presentations, and independent study and technical project work. Resource-based and problem-based teaching styles are used to facilitate the motivational and assimilative phases of the learning process. The level and type of support available via VISION will vary between the courses as is appropriate for the subject matter. Approaches to learning and teaching are continually reviewed and developed with the aim of matching them to the abilities and experiences of the students.

Assessment

The assessment policy for the programme incorporates a range of assessment types. Continuous assessment during some courses and summative assessment at the conclusion of courses both contribute to the overall assessment and are used to formally measure achievement in specified learning outcomes. Understanding, knowledge and subject-specific skills are assessed by coursework assignments and written examinations. Formative assessment is used to provide feedback and to inform student learning. Approaches to assessment are continually reviewed. Specific details about methods of assessment are provided in the appropriate course descriptors.