Welcome to the course.

During the semester,

Students will learn concepts, principles and methods/steps in setting up an agricultural experiment. Students will also learn statistical analysis based on the experimental design used. The experimental designs included are Completely Randomized, Randomized Complete Block, Latin Square and Split Plot Designs as well as factorial experiments. Suitable ways and methods of analyzing data for these experimental designs will also be taught.


Enjoy the course, have fun and work hard.

Aim for A+

You can do it.

This course provides an introduction to essential areas of mathematics, beginning with logic, set theory, real numbers, and complex numbers. It then explores the concepts of functions, limits, and continuity, which form the basis for differentiation and integration, including their techniques and applications. By the end of the course, students will have developed problem-solving skills and a solid mathematical foundation to support further studies in mathematics and related fields.

This course extends the principles of single-variable calculus (as covered in SM14103 Mathematics I) and the concept of vector functions (as introduced in SM14203 Mathematics II) to functions of multiple variables. The course begins by studying fundamental concepts in multivariable calculus, relating functions of several variables, with a focus on up to three variables. Additionally, it explores important topics such as limit and continuity in multivariable calculus, partial derivatives and the applications of partial derivatives. The course then progresses to cover vector-valued functions and the principles of their differentiation.

This course extends the principles of single-variable calculus (as covered in SM14103 Mathematics I) and the concept of vector functions (as introduced in SM14203 Mathematics II) to functions of multiple variables. The course begins by studying fundamental concepts in multivariable calculus, relating functions of several variables, with a focus on up to three variables. Additionally, it explores important topics such as limit and continuity in multivariable calculus, partial derivatives, and the applications of partial derivatives. The course then progresses to cover vector-valued functions and the principles of their differentiation.

This course extends the principles of single-variable calculus and the concept of vector functions to functions of multiple variables. The course begins by studying fundamental concepts in multivariable calculus, relating functions of several variables, with a focus on up to three variables. Additionally, it explores important topics such as limit and continuity in multivariable calculus, partial derivatives, and the applications of partial derivatives. The course then progresses to cover vector-valued functions and the principles of their differentiation.

This course covers theoretical and practical aspects of Environmental Impact Assessment (EIA) and project management. Topic discussed in the course includes EIA legislations, procedures and EIA project management in Malaysia. This course will emphasize on the environmental management aspect in a project cycle. Case study scenarios will be explored as part of the practical activities to enhance the understanding of the EIA as an environmental management tool. The students will be exposed to EIA concepts and methodologies that can assist identification of environmental impacts and designing suitable mitigation methods. Through this course, students will learn various skills and knowledge to prepare themselves to become environmental officers or consultants as topics related to monitoring, auditing, review and EIA project management will also be covered.

This course covers theoretical and practical aspects of Environmental Impact Assessment (EIA) and project management. The topics discussed in the course include EIA legislation, procedures, and EIA project management in Malaysia. This course will emphasize the environmental management aspect of a project cycle. Case study scenarios will be explored as part of the practical activities to enhance the understanding of the EIA as an environmental management tool. The students will be exposed to EIA concepts and methodologies that can assist identification of environmental impacts and the design of suitable mitigation methods. Through this course, students will learn various skills and knowledge to prepare themselves to become environmental officers or consultants as topics related to monitoring, auditing, review, and EIA project management will also be covered.

This course covers theoretical and practical aspects of Environmental Impact Assessment (EIA) and project management. The topics discussed in the course include EIA legislation, procedures, and EIA project management in Malaysia. This course will emphasize the environmental management aspect of a project cycle. Case study scenarios will be explored as part of the practical activities to enhance the understanding of the EIA as an environmental management tool. The students will be exposed to EIA concepts and methodologies that can assist identification of environmental impacts and the design of suitable mitigation methods. Through this course, students will learn various skills and knowledge to prepare themselves to become environmental officers or consultants, as topics related to monitoring, auditing, review, and EIA project management will also be covered.

Fuzzy sets are a mathematical framework that allows for representing and handling uncertainty and vagueness in decision-making and problem-solving. By applying the fundamental concepts of fuzzy sets, such as membership functions, fuzzy operations, and fuzzy reasoning, one can analyze and solve problems that involve ambiguity, imprecision, or uncertainty in data or decision-making processes. Fuzzy sets theory has applications in various fields, including engineering, computer science, economics, and decision science, among others. Mathematical problems often involve precise and deterministic calculations, but in some cases, the data or parameters may be uncertain or imprecise. Fuzzy techniques provide a way to model and analyze such problems by allowing for degrees of membership and fuzzy reasoning. By applying fuzzy techniques, one can analyze mathematical problems in a more flexible and adaptive manner, taking into account the inherent uncertainties and ambiguities in the data or parameters.