GDIC1013K Mathematics II (Theory & Experiments) (BS & Hort)

Academic Year 2023/2024

College Mathematics II is a subject of mathematics that studies the laws of random phenomena. It has been widely used in industrial and agricultural production, science and technology. It is infiltrated with other branches of mathematics. Therefore, this course has become one of the main basic theoretical courses for various engineering and agricultural majors in the university. It forms important mathematical concepts and mathematical ideas, and cultivates students' abstract thinking skills, logical reasoning skills, calculation skills, and analytical problem solving skills. Lay a good mathematical foundation for learning follow-up courses and applying mathematical knowledge to solve some practical problems.

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Curricular information is subject to change

Learning Outcomes:

Upon successful completion of the course, students should be able to:
• Students are required to understand the essential ideas and ways of thinking of financial engineering, including no-arbitrage analysis thinking, building block analysis, etc. Master the basic theories and pricing methods of financial derivatives such as forwards, futures, swaps and futures, as well as the basic ideas and methods of using financial derivatives for hedging, arbitrage and risk management. At the same time introduce cutting-edge financial derivatives, including CDS, total asset swaps and other derivatives.
• Enable students to learn the technical methods of financial engineering: mathematical modeling, data mining, statistical analysis, numerical calculation and simulation design, have certain development of financial derivative products, carry out pricing analysis and risk modeling, creatively solve financial problems and form information. It is able to use financial software to process big data and comprehensively use the technical capabilities of financial software more flexibly.
• Organically integrate the rich ideological and political elements contained in financial engineering with classroom teaching, subtly improve students' ideological understanding, cultivate students' good professional ethics, healthy psychological and emotional, positive personal attitude, noble moral quality, and strong patriotism.

Indicative Module Content:

Student Effort Hours: 
Student Effort Type Hours
Lectures

48
Specified Learning Activities

10
Autonomous Student Learning

70
Total

128
Approaches to Teaching and Learning:
In order to achieve the goal of cultivating high-quality financial engineering compound talents with the characteristics of "noble morality, solid professionalism, strong skills, and technological innovation", the course adopts the following multiple teaching methods:
Putting people first and attaching importance to the all-round development of students. In the whole teaching process, the multimedia teaching method, case teaching method, heuristic teaching method and other forms are used to stimulate students' interest in learning and improve the initiative of students to learn independently. In the teaching process, teachers are in a position to guide students to take active learning and realize that students are the center of classroom teaching.
Using heuristic teaching method, case teaching method, flipped classroom, brainstorming and other teaching methods, ideological and political education and value shaping are run through the whole teaching process. A variety of teaching methods are used to stimulate students' human love, virtues of beauty, genuine ambition, the interest of innovation, gratitude, and patriotism, and promote the transformation of classroom teaching from the knowledge level to the value level.
Use online teaching resources, online open teaching platforms and big data technology to show the results of experimental practice in the form of classroom PPT defences. Pay attention to individualized guidance and services for students, give full play to the role of practical education, integrate innovation and entrepreneurship education into the teaching course, and strengthen students' engineering ability, innovation ability and entrepreneurial thinking training.
 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Examination: End of semester exam 2 hour End of Trimester Exam No Graded No

100

Carry forward of passed components
No
 
Resit In Terminal Exam
Summer Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 

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