octopiems

The course teaches students how to manage securities potfolios. Concepts of risk, return, diversification and valuation are explored. Performance evaluation and asset allocation are also covered.

This course explores key theoretical concepts of modern finance. Arbitrage, expected utility, risk aversion, trade-offs between risk and return, behavioral finance, prospect theory, agency relationships, and information asymmetry.

Students work in teams on a major capstone project in which they put in action the learning they have acquired over four years of study. The graduation project involves hands-on application to a real business challenge.

Students learn to design and implement brand strategies and get into the details of launching, evaluating and managing brands in domestic and global markets.

The course covers the fundamentals of organization behavior including organization structure, culture and leadership. Key discussion topics include leadership roles and styles, employee motivation and empowerment as well as delegation and teambuilding.

The course focuses on internationalization and global ventures. Key strategic considerations include choice of market, entry mode and intercultural aspects. Other important international business issues include foreign exchange, economic policies and taxation.

The course applies the steps of scientific research to marketing questions. The process of marketing research starts with developing questions and hypotheses, and follows with data collection and analysis using both quantitative and qualitative techniques. The output of the marketing research process helps managers gain deeper understanding of their customers, and informs business decisions.

The course introduces students to a comprehensive framework for IT governance to ensure internal and external compliance. We focus on integrating IT strategy and initiating an audit process as well as compliance, security and risk assessment and management.

Students explore the process of choice and the buying decision of consumers. The factors that affect consumer buyer behavior are covered, including perception, motivation, personality, learning among other social and cultural factors.

The course offers an introduction to the field of business analytics. It gives students a taste of descriptive, predictive and prescriptive analytics techniques as they apply to practical business problems. The course uses a hands-on approach with real data sets.

Students work in teams on a major capstone project in which they put in action the learning they have acquired over four years of study. The capstone project involves hands-on application to a real business challenge.

The course explores professional communication in business from both the strategic and implementation standpoints. Students will learn how to think strategically about business communications with key stakeholders. Then, students will practice coming up with various forms of business communication, in which they will use written and oral communication skills to design and produce business communication content.

The course explores professional communication in business from both the strategic and implementation standpoints. Students will learn how to think strategically about business communications with key stakeholders. Then, students will practice coming up with various forms of business communication, in which they will use written and oral communication skills to design and produce business communication content.

The course covers the legal procedures required to formally register a business in Egypt as well as the most common legal forms for companies according to Egyptian law. The course also covers recent laws that have been passed to regulate digital business and financial technologies. Consumer protection, data privacy, labor and contract laws are also introduced.

The course covers the fundamentals of organization behavior including organization structure, culture and leadership. Key discussion topics include leadership roles and styles, employee motivation and empowerment as well as delegation and teambuilding.

The course takes students through a number of data mining and machine learning methods that serve to describe patterns in data sets and predict key variables based on such patterns. Descriptive analytical methods covered in the course include exploratory methods such as cluster analysis and association rules. Predictive analytical methods include K-NN and decision trees in addition to text mining methods. Students will learn the relevant R programming for each analytical method.

This course takes students through the process of business planning, starting with business ideas, opportunity and feasibility analysis. The course then proceeds through the stages of business planning in which students work in teams to prepare a full business plan. Students also practice pitching their business plan to investors and other key stakeholders.

Students explore companies' information technology strategy and work to align IT strategy with a company's business strategy. The course covers strategic decisions relating to outsourcing versus in house development, cloud computing and big data infrastructure, resource planning, talent and project management.

This course teaches students the basic mechanics and style of business and academic writing. The student learns how to search for, read through and extract relevant information from library and other sources. Students also learn the principles of academic integrity and the necessity of proper citation and acknowledgement of information sources.

The basic principles of Logic and logical fallacies are introduced as the primary building blocks of critical reasoning. The scientific method and the basic terminology of scientific reasoning and discourse are presented.

Each student is required to work on an internship at an organization relevant to digital business, inside Egypt or abroad, for a duration of four weeks (at the least). The internship is supervised by the student’s academic advisor or an assigned faculty member. The student is required to submit a technical report at the end of the internship along with a performance evaluation by his/her work supervisor.

In this course, students will be introduced to several advanced concepts of Python and explore larger-scale application development using the language. Students will also develop an understanding of the issues associated with more extensive software projects and undertake code reviews. At the end of this course, Students have the necessary tools to other areas of specialization, including functional programming and deep learning. Students will be learing how to conduct unit testing, coverage analysis and debug code; how to use profiling and performance tuning; ways to build advanced constructs such as iterators and generators, decorators and context managers; and methods for using concurrency and asynchronous programming to improve the performance of the code.

The course explores the economic behavior of consumers, firms and markets in the domestic and world economy. The dynamics of demand and supply equilibrium are introduced, as well as the basics of market competition. Fundamental economic concepts such as price, elasticity, opportunity cost, labor and capital are introduced. Fundamental methods of economic analysis are used to draw implications for welfare, income distribution, market efficiency and international trade.

This course gives a basic introduction to artificial intelligence (AI). It covers the following topics: Problem solving, search, inference techniques. Knowledge representation. Planning. Machine learning.

This Business English course provides language instruction and training in business communication, including business correspondence, negotiations, formal presentations, informal networking, business vocabulary, report and proposal writing, vocabulary for professional purposes, and reading for professional purposes. It is intended to all students in all faculties because it provides input in reading, speaking and listening with guidance for writing tasks.

The course covers differentiation and integration of algebraic and trigonometric functions, as well as higher derivatives. It focuses on business applications of derivatives including linear approximations, the Mean Value Theorem, maxima and minima and optimization problems.

The course explores the economic behaviour of consumers, firms and markets in the domestic and world economy. The dynamics of demand and supply equilibrium are introduced, as well as the basics of market competition. Fundamental economic concepts such as price, elasticity, opportunity cost, labour and capital are introduced. Fundamental methods of economic analysis are used to draw implications for welfare, income distribution, market efficiency and international trade.

The course offers an introduction to the discipline of accounting and the uses of accounting information. Students learn to read, calculate and analyze basic financial statements and financial ratios to analyze the financial performance of companies, the goals are for students to be able to record the financial transactions, read correctly the financial statements, to understand the procedures used to prepare them.

This course aims to introduce students to basic design processes. Students will develop knowledge gained in previous courses, particularly using digital drawing skills with a heightened understanding of design's elements and principles. Students will be guided through a range of practical tasks associated with graphic design, and colour theory. This course will explain the concept of design with the distinction between the terms of design and composition by emphasizing the intellectual value of design work. The course is starting from the first stage of preparing the design process to visualise elements from the future and apply them in two- dimensional designs, to learn how colours interact and how visual composition works forming poster composition with selective colour schemes. This course is a visual study of fundamental elements that creates our design basics by recognising the characteristics of each element and principles of design. Emphasis is placed on basic design principles, the relationships between design, functional, structural, and aesthetic quality of spaces.
By the end of the course, students will have developed practical and theoretical understanding of the functionality, sustainability, nature of the design process, and will demonstrate this understanding through work created for assessment.

The course starts with a look at the different types of cameras on the market and guidelines for setting your camera up for success. It also introduces the theory behind exposure: controlling the amount of light that reaches the camera's sensor. Students will develop an understanding of how to use certain kinds of digital cameras, lenses, how to set up a shoot, to take to the field and examine the rest of the factors that influence the quality of photographs, including light metering, focus, composition, and flash.
In this course, students will learn how to apply the roles of composition for capturing the good shot, will be introduced to techniques for shooting portraits and how to use post-production software.

This course is an introduction to UX (User Experience) explaining its importance for consumers and businesses, understanding foundational concepts in UX design, such as user-centered design, the design process, accessibility, and equity-focused design.

In this course, students will be introduced to core skills, theories, and techniques, primary concepts of gaming, history, and the subject of nature of play, also working on a range of group and individual projects whilst developing their understanding of professional working practices. In this course, students will understand what defines a “game” and the mechanics and rules behind different types of games. This course includes programming for games.

Through this course, the students will develop a project that will act as a pilot for their graduation project in semester 2. Each student will identify an area of game design practice that can be developed over the final year. Students will experiment with and develop a range of working methods to develop the scope of the individual’s game design practice. The project is self-initiated.

This course introduces the student to modern data analysis technically and conceptually that enables users to directly manipulate and explore graphical representations of data. You will learn how to use graphic elements in UI to represent a set of data to produce interactive visualizations that enhance understanding and communication.

The graduation project is the culmination of the Programme and provides students with the opportunity to utilise all of their practical, critical and analytical skills in the realisation of projects related to the development of student individual portfolio. Building upon the work completed for the UX design graduation project phase one, students produce a fully resolved body of work that engages critically with an area of contemporary UX design.

Based on the “Concept and Design I” course, students will go deeper to explore the importance of characters and game environments to aid immersion and enrich the player experience, also how to develop the student’s game idea into a fully-fleshed proposal to sell it. Students will learn different concepts and the design of different games.

This course introduces the student to the animation programme and its subject specialism. The course aims to follow the basic principles of animation.
The student will examine principles like squash and stretch, anticipation, staging, secondary action timing, and exaggeration. which provide characters with a sense of weight and flexibility, and show how to animate walk cycles and dialogue.

Course Aim: Introduce students to classical cryptosystems and basic notions from public key cryptography as well as basic number-theoretic methods and algorithms for cryptanalysis of protocols.
Main Topics: One-time pads - perfect secrecy - public key ciphers: RSA - discrete log. Euclidean algorithm - finite fields - quadratic reciprocity - message digest - hash functions - protocols: key exchange - secret sharing - zero-knowledge proofs. Also - Probabilistic algorithms: pseudo-primes - prime factorization - pseudo-random numbers - and elliptic curves.

Course Aim: Introduce students to basic concepts of graph theory, graph properties and formulations of typical graph problems. This is also supplemented with some abstract-level algorithms for the presented problems and with some advanced graph theory topics.
Main Topics: Simple graphs - digraphs - Eulerian and Hamiltonian graphs - trees - matchings - networks - paths - cycles - graph colorings - and planar graphs - existence - enumeration - construction - algorithms - optimization - pigeonhole principle - bijective combinatorics - inclusion-exclusion - recursions - graph modeling - isomorphism - degree sequences - edge counting - connectivity - Euler's formula - network flows and matching theory.

Course Aim: Introduce students to basic concepts of graph theory, graph properties and formulations of typical graph problems. This is also supplemented with some abstract-level algorithms for the presented problems and with some advanced graph theory topics.
Main Topics: The Basics and definitions of graph theory - graphs and their relatives - isomorphism and automorphism of graphs - degree sequences and edge counting - eulerian and hamiltonian walks/cycles -trees and networks - traveling salesman problem (TSP) - graph matchings- euler's formula  - networks flows - graph colorings - combinatorial objects and techniques - sets and subsets- sequences - basic principles of counting- permutations and factorials - fibonacci numbers- catalan numbers – inclusion – exclusion - recursions - pigeonhole principle- estimations - algebraic combinatorics: binomial coefficients - pascal's triangle - geometric combinatorics.

Course Aim: Introduce students to the foundations of discrete Structures.
Main Topics: Big-O - counting methods - recursion/recurrences - Elementary logic including propositional/predicate logic - methods of proof – relations - basic definitions and properties - special types of relations - Boolean algebras - introduction to graph theory - special types of graphs -trees and their applications - practice in reasoning formally and proving theorems.

Course Aim: Develop practical skills about using fundamental principles to solve physics quantitative problems.
Main Topics: Vector analysis: velocity, acceleration, forces, work, and energy - Linear and Angular momentum - Rotational motion - Dynamics of rigid body - Moment of inertia - Simple Harmonic Motion - Structure of materials and elasticity.

Course Aim: This course will continue for two semesters. In the first semester - a group of students will select one of the projects proposed by the department and analyze the underlying problem. In the second semester, the design and implementation of the project will be conducted.

Course Aim: Introduce students to novel topics in computer science that need to be identified in a responsive manner as technology evolves and develops.

Course Aim: Provide students with the essential skills of building web sites as it serves as the foundation for websites development technologie.
Main Topics: Internet history - architecture/protocols - network programming - Web architecture - client-server architectures and protocols - client-side programming - server-side programming - dynamic HTML - Java programming - object-oriented architecture/design - distributed object computing - Web applications.

Course Aim: Introduce students to novel topics in computer science that need to be identified in a responsive manner as technology evolves and develops.

Course Aim: Enable students to learn how to apply basic algorithmic techniques and to apply advanced object-oriented programming in order to implement various data structures.
Main Topics: Array-based lists, linked lists, hash tables, recursion, heaps - stack - queue - priority queue - binary search - binary search tree, binary search trees - AVL trees, and graph.

Course Aim: Provide students with an understanding of the role computation can play in solving real-world problems.
Main Topics: An introduction to computers-Program design and development process: Problem definition, pseudo-code and algorithm development, flowcharting - Fundamental programming concepts in Python; procedures, functions, iteration, strings, decision structures.

Course Aim: Introduce students to technical and professional writing through various readings and assignments.

Course Aim: This course is designed to give undergraduate students the principles of social value creation to help them build and grow social ventures. Topics will include introducing the field of social entrepreneurship and the status of social entrepreneurship in Egypt. Also, opportunity discovery and assessment, feasibility analysis, and social venture business modeling will be discussed. Students will also gain exposure to funding sources and fintech applications through this course.
Main Topics: Introduction to Social Entrepreneurship- The Status of Social Entrepreneurship in Egypt- Ethics & Mentality Social Entrepreneurs - Scanning the Social Ventures Environment- Finding and Assessing Opportunities for Social Ventures- Developing a Business Model- Assessing the Viability of a Social Venture- Writing A Business Plan- Fintech Concept, Applications, and Opportunities- Issues in Managing the Social Ventures

Course Aim: Introduction students to the key principles of effective and efficient academic writing. This course will provide key techniques, guidelines and suggestions to improve the students’ academic written communication. It will give hands-on experience in the process of writing: forming strategies for inventing, focusing, drafting, conferencing, revising and editing academic texts. It’s designed for students who study English as a Second Language (ESL) where a course book will be used for this purpose.
Main Topics: An introduction to writing - The Writing Process - Subjects and verbs - Fragments - Essay Writing- Four Bases for revising Essays- Regular and Irregular verbs - Subject-verb Agreement - Developing an Essay- Pronoun agreement and reference - Pronoun types - Cause and/ or Effect - Adjectives and Adverbs - Misplaces Modifiers - Dangling Modifiers - Comparison and /or Contrast - Numbers and Abbreviations- Information Literacy - Summarising and Paraphrasing - Writing a Source-Based Essay -- A Model Research Essay

Course Aim: Provide the students with fundamental concepts of artificial intelligence techniques in order to enable the student to apply these techniques in applications which involve perception - reasoning and learning.
Main Topics: Problem solving using AI - search - inference techniques - logic/theorem proving - knowledge representation - rules - frames - semantic networks - planning/scheduling.

Course Aim: Introduce the basic principles, techniques, and applications of Artificial Intelligence.
Main Topics: Problem solving - search - inference techniques - knowledge representation - planning - machine learning -robotics - AI applications - AI algorithms. Students will also experience programming in AI language tools.

Course Aim: Upon completion of this course, the student will be able to present the aspects of software testing, verification, validation. In addition, they will grasp the basic concept of software quality assurance and apply configuration management planning and some aspects of change management.
Main Topics: Verification, validation and software testing - critical systems validation - management of human resources - software cost estimation- quality management and process improvement - legacy systems and software change - software re-engineering - configuration management.

Course Aim: Provide an opportunity to deep dive into Big Data application development. Students will learn about big data and data-intensive application management, design and processing concepts.
Main Topics: Data modeling on different NoSQL databases: key/value - column-family - document - graph-based stores - stream and real-time processing - big data architectures - distributed computing using Spark and/or Hadoop - Big Data ecosystems (Sqoop, Kafka, Hive,....etc) - big data examples in real world.

Course Aim: Emphasize the understanding of the fundamentals of relational systems including data models, database architectures and database manipulations. The course also provides an understanding of new developments and trends using a problem-based approach.
Main Topics: Goals and functions of DBMS - catalogs - physical storage techniques - query processing/optimization - transaction management - mechanisms for concurrency control - recovery - distribution - security - integrity - extended data types - triggers - and rules - architectural foundations including: Performance - availability - and reliability characteristics of hardware and operating systems that impact the design of a DBMS- memory management for multi-user systems - logging and crash recovery .

An introduction to the school of Electrical and Computer Engineering, the program's objectives and outcomes, BSEE degree requirements, and multicultural and professional development.

Fundamental theory of electromagnetism, Fundamentals of electromechanical energy conversion, single and Three-phase systems, Magnetic circuits, Transformers, power measurements, Motors and generators, DC machines such as Permanent magnet DC motor, AC motors (synchronous and induction machines), Stepper motor, Brushless motor, Reluctance motor, Linear motor, Servo motor.

Maxwell’s equations, plane waves, transmission lines, waveguides and cavities, and antennas and radiation. Applications addressed relate to photonics, communications, and imaging and sensing.

Basic concepts of mobile communications, Cell site planning, Traffic engineering, RF propagation characteristics, Fading and Path loss phenomena, Frequency planning, Frequency reuse, Types of interference. GSM system, Multiple access techniques, CDMA spread spectrum systems, Frequency hopping, Power control, Third Generation (3G), Fourth Generations (4G), architecture, frame structure, logical channels and physical channels, interleaving, Modulation, Carrier and burst synchronization. Introduction to Fifth Generation (5G).

The general theory of electromechanical motion devices relating electric variables and electromagnetic forces. The basic concepts and operational behavior of DC, induction, brushless DC, and stepper motors used in control applications are presented.

Introduction to digital communication systems and spread spectrum communications. Topics include analog message digitization, signal space representation of digital signals, binary and M-ary signaling methods, detection of binary and M-ary signals, comparison of digital communication systems in terms of signal energy and signal bandwidth requirements. The principal types of spread spectrum systems are analyzed and compared. Application of spread spectrum to multiple access systems and to secure communication systems is discussed.

Experiments in electronic circuits and systems, including spectral analysis techniques, sampling, distortion measurements, random signals, signal-to-noise ratio and correlation.

Classification, analysis and design of systems in both the time- and frequency-domains. Continuous-time linear systems: Fourier Series, Fourier Transform, bilateral Laplace Transform. Discrete-time linear systems: difference equations, Discrete-Time Fourier Transform, bilateral z-Transform. Sampling, quantization, and discrete-time processing of continuous-time signals. Discrete-time nonlinear systems: median-type filters, threshold decomposition. System design examples such as the compact disc player and AM radio.

Analog and digital electronics through experimental exercises, how to conduct a variety of measurements including voltage, current, impedance, frequency, and waveform measurements, how to design and measure basic circuit elements (resistors, inductors, capacitors, diodes, and transistors) and their applications (e.g. waveform generators, amplifiers, digital logic).

The students work in teams on a challenging open-ended Computer engineering project that draws on previous course work. Projects routinely involve standard design facets (such as consideration of alternative solutions, feasibility considerations and detailed system descriptions) and include a number of realistic constraints (such as cost, safety, reliability, and aesthetics).

An introduction to Computer Engineering, the program's objectives and outcomes, BSC in Computer Engineering degree requirements, and multicultural and professional development.

Software life cycle and process models, requirements engineering, software project management, data and process modeling, software design techniques, software coding, software verification and validation, software evolution, software reliability.

Intelligent information processing, search and retrieval, classification, recognition, prediction and optimization with machine learning and pattern recognition algorithms such as neural networks, support vector machines, decision trees and data mining methods, current models and architectures.

Basic computer arithmetic algorithms, multi-cycle implementations of modern computer instruction sets, pipelined CPU designs, design of cache hierarchy and virtual memory, fundamentals of computer system I/O, evaluation and analysis of processor and memory performance.

Introduction to network architecture, digital transmission, encoding, and multiplexing, protocols, MAC layer design (Ethernet/802.11), LAN interconnects and switching, congestion/flow/error control, routing, addressing, performance evaluation, internetworking (Internet) including TCP/IP, HTTP, DNS etc.

Files, structures, pointers, and the proper use of dynamic data structures, functional decomposition and parameter passing, recursive functions, applications.

An introduction to an engineering program, the program's objectives and outcomes, BSC in Engineering's program degree requirements, and multicultural and professional development.

Solution of linear programs, networks flows, integer programs, introduction to non-linear optimization, game theory, queuing models, Markov chains, engineering applications.

Kinematics, dynamics, energy, momentum, angular momentum, heat, and kinetic theory.

Probability of events, discrete and continuous random variables, multiple random variables, sums of random variables, uniform, Gaussian, exponential, geometric distributions and related random variables, introduction to parameter estimation and hypothesis testing.

Introduction to differential and integral calculus of one variable, with applications, conic sections.

Basic concept of Engineering Economy, national economic problems such as unemployment, recessions, inflation, taxation, bank interest rates, the growth of government, monetary systems, and a rising national debt, the principles, policies, and institutions for solving these macroeconomic problems, price-supply-demand relationship.

Practice with English language, engineering vocabulary, grammar, research-based English language writing.

Mechanisms, open-chain systems, closed-chain systems constraints, degrees of freedom, reference frames, synthesis of mechanisms. Kinematics: Kinematics of rigid bodies, position analysis, velocity analysis, acceleration analysis, types of acceleration, rotation representations, Euler angles, rotation matrix. Dynamics, Equilibrium of machines, D’Alembert’s principle, force analysis, power analysis, Friction and inertia-effects. Cams, Types of cams, kinematics and kinetics of cam. Gears, types of gears, gear motion transmission, gear geometry, gear trains, reduction ratio.

Introduction to the design of measurement systems: functional elements of an instrument, classification and configuration, analog and digital sensors, input-output configuration of instruments, variable conversion elements and signal amplification, methods of correction for interfering and modifying inputs. Design criteria and dynamic performance of ideal measurement systems: generalized performance characteristics of instruments, static and dynamic performance, accuracy, statistical analysis of measurement errors, calibration and regression. Measuring devices and sensors: flow, pressure, temperature, motion, force, and power sensors.

Introduction, Concepts and Fundamentals of open loop, closed loop, cascaded and feedforward control systems. The application of modelling techniques for control systems analysis. Determination of the plant and system responses in the time and frequency domains (using ODE, Transfer Function, Frequency response, Nyquist and Bode diagrams). The industrial control equipment components (sensors, controllers (P, PI, PID etc.), actuators) and the corresponding specifications. The control system analysis tools and performance evaluation (e.g. steady state error, Stability and performance indices). Design control system compensators using the methods of Root-Locus, Frequency response, and pole- placement. P, PI, and PID controller tuning using Zeigler-Nichols and Cohen-Coon methods and applying that on a mini-Project.

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The course starts with a look at the different types of cameras on the market and guidelines for setting your camera up for success. It also introduces the theory behind exposure: controlling the amount of light that reaches the camera's sensor. Students will develop an understanding of how to use certain kinds of digital cameras, lenses, how to set up a shoot, to take to the field and examine the rest of the factors that influence the quality of photographs, including light metering, focus, composition, and flash.
In this course, students will learn how to apply the roles of composition for capturing the good shot, will be introduced to techniques for shooting portraits and how to use post-production software.

This course aims to introduce students to the technical methods of 3D modelling and rendering packages. Students will be given a broad overview of these concepts and the techniques that apply to all types of 3D artwork: character designs, product shots, animation, and more. The student starts with navigating 3D space and manipulating existing objects, reviews geometry and modelling, sculpting in 3D, and is shown how to apply colour and texture to surfaces. By the end of the course, students will have acquired new 3D Digital Modeling skills which will enable them to go beyond basic rendering theory, covering features found in most commercial rendering engines.

This course aims to introduce students to the basic skills needed to make representational paintings. Students will use drawing skills acquired in other courses to create compositional studies based on the landscape and still lives set up in the studio. From these studies, students will make paintings using a range of techniques including colour blending, glazing, edging, a combination of pattern, outlining, and impasto amongst others. Students will use a range of materials that may include acrylic paints, oil paints, watercolour, pastels, pencils, charcoal, or a mixture.
The course follows a progressive sequence, covering beginner and advanced acrylic painting methods, from underpainting and glazing to impasto and textural effects. It also addresses setup and materials, colour mixing and pigment choice, brush-handling and palette-knife techniques, as well as gels and mediums.
By the end of the course, Student will have a final still-life project you can hang with pride, and a solid foundation of painting knowledge, making the transition into more challenging subjects or mediums much easier.

This course is based on enhancing students’ proficiency in different skills. The course’s content is designed to create an interactive atmosphere where students are effectively engaged in the learning process through a variety of activities that lead to productive outcome. The course addresses two major categories of skills: (a) listening and reading (receptive), (b) speaking and writing (productive). Diverse topics in the field of art are selected to work on aspects previously mentioned.

This course is based on enhancing students’ proficiency in different skills. The course’s content is designed to create an interactive atmosphere where students are effectively engaged in the learning process through a variety of activities that lead to productive outcome. The course addresses two major categories of skills: (a) listening and reading (receptive), (b) speaking and writing (productive). Diverse topics in the field of art are selected to work on aspects previously mentioned.

The course focuses on professional practice-based learning, competitions and/ or live projects. Through a series of innovative masterclasses, students will gain insight and knowledge game industry experts. At the same time, they will learn the professional codes and conventions of the game industry to develop the professional skills they need to get a job in the game industry. Opportunities for live projects in the game design industry will increase the students' experience and their self-confidence in the future professional world.

This course will introduce students to the software that will be used for their design process, from low fidelity (wireframes) to interactive high-fidelity prototypes for their website/mobile app, also they will be introduced to micro and voice interaction.

This course introduces the student to modern data analysis technically and conceptually that enables users to directly manipulate and explore graphical representations of data. You will learn how to use graphic elements in UI to represent a set of data to produce interactive visualizations that enhance understanding and communication.

In this course, students will be introduced to the web programming basics, including how to work with various media, define typography, create structured and responsive layouts and control transitions and animations. Students will learn some coding languages to create user interface.

This course is an introduction to UX (User Experience) explaining its importance for consumers and businesses, understanding foundational concepts in UX design, such as user-centered design, the design process, accessibility, and equity-focused design.