ICE ENGINEERING CURRICULUM (INTERNATIONAL PROGRAM)

Introduction to ICE

Fundamentals of computer and telecommunication concepts for information systems; technology and trends underlying current and future uses of information and communication technology; introduction to engineering management including important aspects of management science; real-world experience sharing and tools related to each topic.

Probability and Statistics for Data Analysis

Basic probability concepts, independent events, conditional probability, and total probability theorem; discrete and continuous random variables, probability distribution functions, expected value, variance, and moments; joint distribution functions; covariance, law of large numbers, and central limit theorem; descriptive statistics and statistical inferences; point and interval estimations, hypothesis testing, and regression analysis.

Advanced Computer Programming

Advanced concepts and practice of object-oriented programming (OOP); code maintainability; foundations of OOP; inheritance, polymorphism, composition, interfaces, and exception handling; application of object-oriented design principles; application development; concurrent programming (threading) and socket programming; in-depth study of essential design patterns as a strategy, an observer, a decorator, a factory, a singleton, a composite, and an iterator to improve software architecture quality.

Conditions: PRE-REQUISITE 2190101

Calculus II

Sequences and series of real numbers; power series of real numbers; Taylor series; approximation of functions by Taylor polynomials; three-dimensional space; calculus of vector-valued functions of one variable; curves; calculus of real-valued functions of two variables; introduction to differential equations and their applications.

Conditions: PRE-REQUISITE 2301107

Physics and Electronics for Engineers

Electrostatic; direct current; alternating current: electrical circuits; electromagnetism and magnetic materials; mechanical and electromagnetic waves; modern physics; nuclear physics; relativity.

Physics and Electronics Laboratory for Engineers

Measurement and precision; experiments on simple harmonic motion; radius of gyration; dynamics of rotation; velocity of sound; viscosity of fluids.

Conditions: co-requisite 2304154

Communicative English II

Practice language skills in acquiring analyzing and synthesizing information and knowledge from different sources and media on topics of students’ interest under selected themes; summarizing what they have learned, and presenting opinions from group discussion.

Conditions: CO-REQUISITE 5501112

Advanced Mathematics Methods

Complex functions, analytic functions, Cauchy integral theorem, Laurent series, residue theorem, solving linear systems by row reduction of a matrix, inverse matrices and determinants, row space and column space of a matrix, rank and nullity, change of basis, linear transformations, orthonormal bases and the Gram-Schmidt process, eigenvectors and eigenvalues, diagonalization of a matrix. First-order ODE, Second-order ODE, Higher-order linear ODE.

Conditions: PRE-REQUISITE 2301108

Electrical Circuit for ICE

Basic circuit elements: resistor, capacitor, inductor, diode and transistor; Kirchhoff's laws; node and mesh analysis; DC and AC circuit analysis; Thevenin's and Norton's theorem; logic and digital circuits.

Fundamental of Circuit and Digital Electronics Laboratory

Electronic instruments: multimeter, oscilloscope, DC circuit, voltage regulators, filter circuit, transistor amplifier circuit, digital circuits.

Conditions: CO-REQUISITE 2182214 or C.F.

Discrete Structure

Sets, relations, functions, theorem and proof; combinatorics; counting, principle of inclusion exclusion, recurrent relations, generating functions; graphs and trees; introduction to number theory.

Fundamental Data Structure and Algorithm

Basic object-oriented programming; analysis of algorithms; list; stack; queue; binary search tree; hash table; sorting algorithms; priority queue; AVL tree.

Conditions: PRE-REQUISITE 2190101

Data Science

Data science definition; data science pipeline; data preparation; exploratory data analysis; statistical analysis; model development; model evaluation; data visualization.

Conditions: PRE-REQUISITE 2190101 and 2182205

Signals and Linear Systems

Classification of signals and systems; linear-time invariant system; continuous-time system; discrete-time system; impulse response, convolution, zero-state response and zero-input response; frequency response and steady-state response: Fourier series, Fourier transform, Laplace transform, Z-transform, discrete-time Fourier transform.

Application Development

Full-stack development from backend to frontend; modern backend development tools; data analysis; current database tools; well-known frontend development framework for web and mobile applications; hands-on practice in all levels of software application development.

Artificial Intelligence

History of AI; logic and knowledge representation; prolog; semantic networks and ontologies; expert systems; search and planning; problems from constraint satisfaction; reasoning under uncertainty; K-mean clustering; regression analysis; Naïve Bayes; Gaussian Mixture Models; expectation maximization; dimensionality reduction; support vector machines; deep neural networks; large language models.

Communication and Presentation Skills

Practice using English for social communication and giving oral presentation on engineering-related topics.

Conditions: PRE-REQUISITE 5501123

General Education

Free Elective

Computer Architecture and Organization

Computer evolution and performance; computer structure, function, and interconnection; memory hierarchy; cache memory; virtual memory; storage; input/output; operating system support; process; interrupt; system call; instruction set; processor structure and function; RISC vs CISC; pipelining; superscalar processors; multi-core computers.

User Interface Design

Introduction to human-computer interaction; specific HCI guidelines; human factors as HCI theories; interaction design and the process of interaction design; conceptualizing interaction; cognitive aspects; interfaces; discovering requirements; data gathering; data analysis, interpretation, and presentation; design, prototyping, and development; interaction design in practice; evaluation: inspections, analytics, and models; HCI for immersive technologies.

Principles of Telecommunications

Introduction to telecommunications; layered communication architectures; transmission medium: wired and wireless; medium access control; circuit switching and packet switching; throughput and delay performance analysis of communication link; introduction to network topology; introduction to queuing theory and basic simulation techniques; overviews of cellular mobile phone networks, optical networks, Internet and satellite systems.

Engineering Economy and Applications

Interest calculation; time value of money; equivalent value and rate of return; project analysis and evaluation; break-even point; sensitivity analysis; decisions under risk and uncertainty; economic life and replacement analysis.

Netcentric Architecture

Principles of network applications, protocols, services (web, HTTP, E-mail, SMTP, DNS and peer-to-peer file applications); web caching; video streaming and Content Distribution Networks (CDN); socket programming; transport layer (TCP and UDP); principles of reliable data transfer; congestion control; network layer (data plane and control plane); The Internet Protocol (IP); Network Address Translation (NAT); generalized forwarding; Software-Defined Network (SDN); middleboxes; routing in the Internet; SDN control plane; link layer; LANs; Address Resolution Protocol (ARP), switches, and VLANs.

Conditions: PRE-REQUISITE 2190101

Elective

ICE Capstone

Culminating and applying knowledge to develop information and communication systems; designing and developing an innovative software system from gathering all system needs to its application under the instructor's supervision; peers' collaboration; design innovation; business model and ecosystem; giving professional presentations; writing an academic report.

Principles of Data Communication

Introduction to data communication and networking: layer modeling protocols and architectural network; basic data transmission; physical layer transmission; data link layer protocols; multiple access protocols; network layer protocols; internet protocols; transport layer protocols; congestion management and quality of service.

System Security

Principles of security and privacy, authentication, authorization, auditing, confidentiality, integrity, availability, fundamentals of cryptography, network security, secure software design, penetration test, interdisciplinary in cybersecurity.

Software Engineering

System development life cycle; system development methodologies; software project management; requirements determination and analysis; business process and functional modeling; structural modeling; behavioral modeling; verification and validation; human-computer interaction design; software testing.

Database Systems

Database management system concepts, terminology, and architecture; entity- relationship modeling; database design and implementation; relational data model; relational algebra and calculus; SQL; functional dependencies and normalization; indexing; non-relational databases; databases in the AI era.

Technical Writing

Practice in writing summaries composing different types and styles of writing in the field of engineering and writing reports of studies and experiments.

Conditions: PRE-REQUISITE 5501123

Industrial Training

Engineering practice in related areas under the supervision of experienced engineers in private sectors or government agencies.

ICE Pre-project

Specifying topics or problems, scope, problem-solving methodologies and expected benefits from projects on information and communication engineering.

Elective

Free Elective

ICE Project

Group or individual projects on a subject related to information and communication engineering.

Conditions: PRE-REQUISITE 2143491

Technology Management

Classification of technology; investment in technology; technology strategy; technology adoption; technology management framework: identification, selection, acquisition, exploitation, protection; concept proof tool; technology roadmap.

General Education