Core Modules: Calculus, Linear Algebra, Discrete Math

Core Modules

• Calculus: Focuses on differentiation and integration techniques, including applications to problems in physics, engineering, and economics. This will likely cover various types of functions, partial derivatives, and multiple integration. Expected to explore definite and indefinite integrals, along with techniques such as integration by parts and substitution.
• Linear Algebra: Examines vector spaces, linear transformations, matrices, and their applications. This module will explore systems of linear equations, eigenvalues, eigenvectors, and applications in various fields. Matrix operations (addition, multiplication, inversion) are essential.
• Discrete Mathematics: Introduces mathematical logic, counting techniques, graph theory, and recursion. This involves studying proofs, sets, relations, combinations, and permutations. It's crucial for problems in computer science and algorithms. Understanding various types of graphs and graph representations is vital.
• Probability and Statistics: Covers basic probability concepts, distributions (e.g., normal, binomial), hypothesis testing, and statistical inference. Expected learning includes descriptive statistics, probability rules, conditional probability, and common statistical tests.
• Number Theory: This studies properties of integers and rational numbers. Topics commonly covered include divisibility, modular arithmetic, prime numbers, and Diophantine equations.
• Differential Equations: Deals with equations involving derivatives of unknown functions. The module will cover various types, solutions, and applications. This is important for modelling phenomena in natural sciences.
• Numerical Methods: Approaches to solving mathematical problems using numerical approximations. Covers techniques for approximating solutions to equations, integrating functions, and solving differential equations.

Practical Skills

• Problem-solving: Developing and implementing mathematical techniques to solve problems.
• Mathematical Modelling: This involves creating and using mathematical models, often involving differential equations, to understand real-world phenomena.
• Mathematical Reasoning: This module covers how to rigorously approach mathematical statements and construct valid arguments. This involves being comfortable with deductive and inductive reasoning, quantifiers, and logical connectives.
• Proof writing: Formalizing mathematical arguments and providing justified reasoning for results. Understanding theorems, axioms and proofs is crucial.

Possible Additional Modules

• Analysis: Possibly in place of or alongside Calculus, depending on course structure.
• Further Linear Algebra (or Advanced Linear Algebra): Extends the fundamental principles of linear algebra into more advanced topics.
• Further Calculus (or Advanced Calculus): Focuses on more advanced concepts such as differential and integral calculus.
• Specific applications modules: Modules focusing on applications like optimization or mathematical finance might also be part of the year's curriculum.

Key Concepts for 2nd Year

• Deepening understanding: The second year typically involves building on the foundations of the first year of study by covering more advanced and complex topics in each area.
• Advanced techniques: Expect exposure to advanced mathematical techniques like differential equations, numerical methods, and more sophisticated proof methods.
• Applications: Real-world applications of the studied theories continue to get more complex, allowing you to explore the use of mathematical concepts in diverse fields.