This module is the second part of a two-part module designed to provide first year Chemical and Biomolecular Engineering students with an experiential exposure to the foundational concepts of Biomolecular/Biochemical/Bioprocess Engineering, including mass and energy balances, biosafety and sterile handling, bioreaction kinetics, bioreactor design, downstream processing and purification, etc., through a series of hands-on experimental laboratories. In the laboratory, they will learn to carry out measurement, data collection, analysis, interpretation and presentation. The laboratory sessions will be blended with real engineering applications of industrial and societal relevance to Singapore.

The module begins with a revision of chemical kinetics and thermodynamics emphasizing on the different definitions of reaction rates, rate expressions, and simple and complex reactions. The design equations for ideal reactors are then introduced followed by the general methods of analysis of rate data. Reactor sequencing, yield versus productivity considerations in multiple reactions, and nonisothermal operations round up the first half of the course. More advanced topics such as residence time distributions in reactors, kinetics of catalytic reactions and catalyst deactivation, coupling of chemical reactions with transport processes, form the bulk of the second half of the course.

This module considers the classification of fluids and their properties, followed by the analysis of static fluid. The integral and differential forms of the fundamental equations - Continuity, Momentum and Energy equations are then studied. The concept of momentum transfer by the shear stress is introduced in this course. Dimensional analysis and model theory are studied. The concept about boundary layer theory, flow with pressure gradient, viscous flow and turbulence are also described. Practical aspect involves the consideration of flows in closed conduits. At the end of the course, basic concepts regarding fluid machinery is also covered.

This course considers three modes of heat transfer, namely, conduction, convection, and radiation. For heat conduction, both steady and unsteady states are examined. These are followed by analyses for convective heat transfer and heat transfer with phase change, and subsequently radiative heat transfer. Heat exchangers and their design are discussed. Steady and unsteady-state molecular diffusion is studied, while convective mass transfer is analyzed using exact and approximate integral analysis. Finally, analogies between mass, heat and momentum transfer are discussed leading to the concept of transport phenomena.

This module introduces the fundamental concepts of problem solving by computing and programming using an imperative programming language. It is the first and foremost introductory course to computing. Topics covered include computational thinking and computational problem solving, designing and specifying an algorithm, basic problem formulation and problem solving approaches, program development, coding, testing and debugging, fundamental programming constructs (variables, types, expressions, assignments, functions, control structures, etc.), fundamental data structures (arrays, strings, composite data types), basic sorting, and recursion.

This is a six-week module specially designed for students majoring in Engineering. It introduces the basic concepts in linear algebra with applications in engineering. Major topics: Matrix algebra, linear system of equations, vector spaces, linear independence, basis, orthogonality, rank, linear transformations, eigenvalues and eigenvectors, diagonalization, linear systems of differential equations, linearization of nonlinear systems.

Students will be introduced to the mechanical and electrical properties of the main classes of materials, metals, polymers, ceramics, composites and semiconductors followed by techniques used to select suitable materials for future design projects. The module will cover the correlation between these fundamental materials properties and both chemical composition and microstructure, including the impact of the fabrication process.

A complex system entails a network of interconnections among its constituents. Take the network of friendships in a society. "Six degrees of separation" posits that any two persons in the world are connected through five or fewer other persons in this network. This amazing "small world" notion prompted scientists to study the organisational structure of networks. Indeed, many networks - however massive and complex - follow an order based on simple principles. In a minimally technical manner, this module follows this exciting development, which impacts our understanding of a plethora of phenomena from the spread of diseases to the propagation of opinions.

This module introduces various multiphase processes that are important to Chemical Engineering applications. These include sedimentation, flow through packed beds, filtration, fluidisation, pneumatic transport and cyclone separation. The concepts of single particle terminal velocity and hindered settling velocity in multiple particle systems are introduced and applied to engineering designs of continuous settling systems. Principles of flow through packed beds are discussed and applied towards engineering designs of filtration and fluidized bed systems. Pressure drop calculations for pneumatic transport systems and engineering design calculations for gas cyclone systems are discussed. The module concludes with the study of crystallisation, colloids and nanoparticles.

In this module, equilibrium stage and rate-based design concepts in separation processes are introduced. Starting from simple single stage, binary separation, the theoretical treatment is extended to multi-component, multi-stage processes. After brief introduction to inter-phase mass transfer, basic concepts in rate-based design for the more important separation processes such as absorption and distillation are illustrated. The rate-based design concept is then extended to operations involving simultaneous heat and mass transfer such as in cooling tower and dryer. The process design principles are illustrated with distillation, absorption, extraction, adsorption, cooling tower and drying processes.

This module aims to provide fundamental concepts and methods for the design and operation of safe plants. The students will gain a thorough understanding of chemical process hazards, their identification, their potential effects on safety, health, and the environment, and methods of assessment and control. Emphasis is placed on the integrated management of safety, health, and environmental sustainability.

Electronic materials have become essential for modern society, and new breakthroughs in electronic materials promise to offer next generation technologies. This course explores the fundamental mechanisms for understanding existing and emerging electronic materials for green energy devices in the modern world. This survey course will enable students to learn the fundamental properties in order to understand the operation and development of materials for applications such as organic electronics, hybrid semiconductors, photovoltaics, photocatalysts, and optoelectronic devices. This course is also intended to introduce contemporary research to students through discussion and analysis of research manuscripts as case studies.

This module introduces mathematical tools required in the study of computer science. Topics include: (1) Logic and proof techniques: propositions, conditionals, quantifications. (2) Relations and Functions: Equivalence relations and partitions. Partially ordered sets. Well-Ordering Principle. Function equality. Boolean/identity/inverse functions. Bijection. (3) Mathematical formulation of data models (linear model, trees, graphs). (4) Counting and Combinatoric: Pigeonhole Principle. Inclusion-Exclusion Principle. Number of relations on a set, number of injections from one finite set to another, Diagonalisation proof: An infinite countable set has an uncountable power set; Algorithmic proof: An infinite set has a countably infinite subset. Subsets of countable sets are countable.

This module introduces students to various machine learning concepts and applications, and the mathematical tools needed to understand them. Topics include supervised and unsupervised machine learning techniques, optimization, overfitting, regularization, crossvalidation and evaluation metrics. The mathematical tools include basic topics in probability and statistics, linear algebra, and optimization. These concepts will be illustrated through various machine learning techniques and examples, such as forecasting population growth, classifying E-mail as spam or non-spam and predicting heart disease.

Recognizing that each professional leadership journey to comprises an individual's internalised learning and experiences, this module provides a platform for students to explore different means and take active steps towards honing their professional and leadership skills based on their needs and experiences. Students will meet with mentors to discuss talks, lectures, workshops and other initiatives that can help them in their professional journey and be guided in reflecting on this journey for deeper impact. Despite the individual nature of each leadership journey, ethical values are recognized as indispensable for every engineering professional and will be part of this module.

Overview: symmetry, bonding, coordination number, packing fraction, order and disorder; Noncrystalline state: short-range order (SRO), pair distribution function, random walk, network and fractal models; Crystalline state: basic crystallography and structures, reciprocal lattice, quasicrystals, liquid crystalline state; Crystal vibrations, Brillouin zone; free electron model, energy bands; Structural effects on phase transformation; Fourier series.

Venturing into space, the most hostile of extreme environments, poses a host of complex and unusual challenges to human well-being. Through examination of the physiological, psychological and social factors that astronauts must contend with, students will engage with the ethical questions that confront governmental and private agencies when sending men and women into space. Before selecting specific ethical questions to explore in their research papers, students will also examine the motivations (scientific, commercial, political) behind different kinds of space mission and consider the moral obligations humankind may be under with regard to the exploration and potential exploitation of extraterrestrial environments.

Students will learn how to perform laboratory-scale experiments in a small team. This practical module strengthens their technical writing and oral presentation, and problem-solving skills. Experiments in this module are related to chemical engineering thermodynamics, fluid mechanics, heat and mass transfer, reaction engineering, process dynamics and control, mass transfer and separation processes. Moreover, students will learn how to use safety equipment to handle hazardous waste following safety protocols. They will also learn assembly/disassembly of equipment, fault diagnosis, operation of thermocouples and flow meters, instrumental analysis, data logging and processing, operation of process plant items, error analysis and data validation.

This module presents the full complement of fundamental principles with clear application to heat exchangers, reactors, separation processes and storage systems. It incorporates introductory concepts, dynamic modeling, feedback control concepts and design methods, control hardware, and advanced control strategies including feed-forward, cascade and model-based control. SIMULINK will be introduced and used to simulate and examine the effectiveness of various control strategies. The module also incorporates case studies that prepare the students to design control systems for a realistic sized plant. This module is targeted at chemical engineering students who already have a basic knowledge of chemical engineering processes.

This module introduces model formulation and MATLAB programming specially for chemical engineering students. This course covers the formulation of process models and necessary numerical techniques for solving the model equations arising in thermodynamics, fluid mechanics, heat and mass transfer, reaction engineering, transport phenomena, and process systems engineering. The numerical techniques include methods for solving systems of linear and non-linear algebraic equations and systems of linear and non-linear ordinary and partial differential equations. Direct and iterative techniques, numerical differentiation and integration, linear regression, error propagation, convergence and stability analysis will also be taught in the context of chemical engineering problems. Students will learn using various tools (Excel spreadsheet and MATLAB) for solving different numerical problems. This module is targeted at level 3 chemical and environmental engineering students.

This module aims to provide fundamentals and methods of of process synthesis and simulation, which are required for design of chemical processes/plants. Students learn a heuristic method for process development, simulation strategies, main steps in process design and rigorous process simulation using a commercial simulator through both lectures and many hands-on exercises. They will also learn detailed mechanical design of process equipment, cost estimation and profitability analysis of chemical processes.

This module provides students with a working knowledge of thin film technology as this is applicable in the microelectronics industry. The emphasis is on the role of chemical and engineering science in materials processing. The module commences with an introduction to basic concepts in the kinetic theory of gases, thin film formation, vacuum technology and surface preparation. The next section covers a variety of thin film deposition techniques - physical as well as chemical. Thin film processing and patterning is the next subject of discussion. In particular, process operations relevant to semi-conductor device manufacture are covered. Diagnostics and characterisation of thin films is also presented with a view to familiarise students in state-of-the-art methodologies. The last part is devoted to an intensive study of thin film phenomena from a materials perspective. This module is targeted at level 4 chemical engineering students.

The recent decade has witnessed the rapid development of porous materials and their applications in clean energy and environmental sustainability including storage, separation, sensing, and catalysis. This module covers the chemistry, structure, characterization, and applications of various porous materials including zeolites, inorganic mesoporous materials, metal-organic frameworks (MOFs), covalent organic frameworks (COFs), and other newlyemerged porous materials. It is a multidisciplinary course integrating chemistry, materials science, and chemical engineering with a focus on addressing some of the most challenging problems such as hydrogen storage, carbon capture, and CO2 utilization.

Drude model of metal conduction; basic quantum mechanics; wave equations; quantum confinement; Bloch theory and periodic potential in solid; energy band structure; effective mass; Fermi Dirac statistics; Sommerfeld model of metallic conduction; semiconduct or: intrinsic, extrinsic, doping and conductivity; Boltzmann statistics; energy band structure; pn junction; selected examples of current devices and applications

This is the first of a series of two 2-semesters long modules intended to allow students to pursue a project of their interest under the supervision of a faculty mentor. The idea is to allow students to follow their aspirations and work towards an impactful goal. The project may be carried out within or outside NUS and may last more than one semester. It may or may not be confined to engineering disciplines, but it should have a clear articulation of possible impact on society or community life. This module can only be read by students of the EScholars Programme.

This module introduces basic concepts and algorithms in machine learning and neural networks. The main reason for studying computational learning is to make better use of powerful computers to learn knowledge (or regularities) from the raw data. The ultimate objective is to build self-learning systems to relieve human from some of already-too-many programming tasks. At the end of the course, students are expected to be familiar with the theories and paradigms of computational learning, and capable of implementing basic learning systems.

This course provides a broad introduction to statistical practice and data analysis techniques. It aims to equip students with a basic understanding of statistics, so that they can employ appropriate methods of analysis in various circumstances. The techniques learnt are widely used in the sciences, social sciences, business and many other fields of study. Topics covered include collecting data, getting information from data, data manipulation, statistical inference, regression and analysis of categorical data.

This module provides students with a working knowledge of selected techniques and software in pinch analysis and process integration as well as their application to chemical processes. The first part of the module covers pinch analysis for heat integration, including data extraction and energy targeting, heat exchanger network design, integration of utilities, heat and power systems, and distillation columns. Application of pinch analysis to maximization of water re-use is also discussed. Another topic is data reconciliation and gross error detection, and their applications. This module is targeted at senior chemical engineering students.

This module gives a comprehensive overview of the fundamental knowledge of hydrogen, and introduction to the development of hydrogen technologies, including hydrogen production, storage and transportation, hydrogen utilization in industry, and as a clean fuel. Opinions and perspectives on future hydrogen economy will also be introduced. Students will learn various types of hydrogen related research and technologies, their significance, advantages, challenges and opportunities ahead. Guest lectures from academic and industrial experts, literatures from key areas will also be introduced to reinforce classroom learning. This module is meant for students with some chemical engineering, chemistry, materials science, or related background.

This internship module is for B.Eng. degree with a compulsory 20-week internship. The type of internship varies according to the programmes. Internships integrate knowledge and theory learned in the classroom with practical application and skill development in a professional setting. It enables students to learn about the latest developments in the industries and to interact with engineers and other professionals as they join projects or tasks that help to develop or enhance their skills whilst contributing to the organization. Students can extend their internship module by another 4 weeks and earn additional 2 MC by registering EG3611b Industrial Attachment.

The project aims to provide students with training for scientific or technical research. The module involves an assignment of a research project, equipment training and safety education. Students need to spend at least one full day per week on the project under the guidance of the project supervisor and co-supervisor. A thesis is required at the end of the semester, including literature survey, materials and method, results and discussion, and suggestions for further study. A poster presentation is also required. This module is targeted at all level 4 chemical engineering students.

In this capstone design project, students execute a group project to design a chemical production facility. They solve a practical design problem in the same way as might be expected in an industrial situation. Students develop and evaluate process flowsheet alternatives via rigorous simulation, perform preliminary sizing, analyze safety and hazards, and estimate costs and profitability. Further, they learn how to solve open-ended problems by making critical design decisions with sound scientific justification and giving due consideration to cost and safety. Project coordinators act as facilitators, and students work almost independently on the project and exercise their creativity.

The module presents an overview of CMOS fabrication process with the focus on the materials engineering and the physics behind the technologies used in the fabrication process. The technologies include cleaning process, photolithography and resist, the formation of thermal oxides and Si/SiO2 interface, dopant diffusion and ion implantation, etching, thin film deposition technology, and interconnects/contacts.

The module equips students interested in computational chemistry and materials science materials with: 1. Foundation of force-field and interatomic potentials 2. Foundation of first principles methodologies 3. Foundation of the methodologies aforementioned when applied in molecular dynamics and Monte Carlo studied. 4. Hands-on application of computational techniques to chemical and materials science problems.