Major Overview

By learning how to apply computational and quantitative methodologies to diverse subject areas, while understanding the theoretical underpinnings of computing and software development, you will be prepared for fields where radical change is the norm. Our curriculum provides detailed instruction in topics as wide-ranging as java programming and discrete mathematics and will help deepen your liberal arts foundation by enhancing your quantitative and abstract reasoning skills and your ability to efficiently formulate and solve problems. Find immediate practical applications for your studies through our Technology and Cognition Lab and your professors’ ongoing collaborative projects with colleagues at world-renowned universities and research labs. 

 

Featured Course - Data Science: Methods and Contexts

LEARNING OUTCOMES

The educational goals for this major are as follows:

  • Knowledge: you will understand the theory, practices, and tools for the specification, design, implementation, and evaluation of digital systems.
  • Application: you will be able to apply the knowledge involved in creating and deploying digital devices to solve practical problems demonstrating a clear comprehension of the trade-offs involved in choices made throughout the lifetime of the system.
  • Communication and ethical practices: you will be able to communicate with various stakeholders about technical problems and their solutions. You will be able to analyse the ethical implications of system design.

Learning Environment

You will find yourself within a setting that stresses the importance of a contextualized and active learning approach, which emphasizes interdisciplinary education and research through close ties with other AUP departments, as well as universities and industries around the world. Our small classes are meant to foster open discussion, guided individual and group projects, as well as broader student-professor collaborations. 

Luka

Alumnus '15

When I came to AUP, I was curious to learn new things...

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Alumna

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Anas

Alumnus '12

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Major Components
Build your Degree

With every single one of our majors, you’ll find a carefully curated medley of core courses and electives, which will provide you with the tools you need to establish an unshakeable foundation in the principles and concepts fundamental to your growth within your disciplines of choice. Many majors also enable you to specialize further within the broader area of study.

Core Courses

Core Courses

We aim to help you develop a range of skills, capacities, and modes of inquiry that will prove crucial since employers and graduate schools are looking for the critical thinking and innovative problem-solving skills that are associated with a liberal arts education. Many of our students continue their studies at top institutions like MIT and Harvard, while others begin careers in fields like mobile application development. 

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Electives

Electives

Each elective provides you with entry to a variety of subject areas which you can choose among to further focus your studies. With the help of your academic advisor, you’ll be able to tailor your major so that it most effectively prepares you for the next step in your academic and professional journey.

See all Major Electives

Specialization

Specialization

You may choose to orient your Computer Science major towards the Information and Communication Technologies specialization. While building the groundwork for your computer science studies, you will take complementary courses to link your major with another, broader, interest. Previous students have chosen to combine computer science with subject areas that include business, economics, art history, and psychology.

See ICT Requirements

 

BROWSE ALL MAJORS AND REQUIREMENTS

Core Courses

The Computer Science core courses, which you must take as part of the major requirements, will provide you with the tools you’ll need to ground your present and future studies. Your introduction to the fundamentals of Computer Science will help pave the way for your successful completion of other Computer Science courses.

MA1020 Applied Statistics I

Introduces the tools of statistical analysis. Combines theory with extensive data collection and computer-assisted laboratory work. Develops an attitude of mind accepting uncertainty and variability as part of problem analysis and decision-making. Topics include: exploratory data analysis and data transformation, hypothesis-testing and the analysis of variance, simple and multiple regression with residual and influence analyses.

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OR
MA1030 Calculus I

Introduces differential and integral calculus. Develops the concepts of calculus as applied to polynomials, logarithmic, and exponential functions. Topics include: limits, derivatives, techniques of differentiation, applications to extrema and graphing; the definite integral; the fundamental theorem of calculus, applications; logarithmic and exponential functions, growth and decay; partial derivatives. Appropriate for students in the biological, management, computer and social sciences.

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CS1040 Intro To Computer Programming I

Introduces the field of computer science and the fundamental concepts of programming from an object-oriented perspective using the programming language Java. Starts with practical problem-solving and leads to the study and analysis of simple algorithms, data types, control structures, and use of simple data structures such as arrays and strings.

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CS2040 Intro To Computer Programming II

This is the second part of the foundation course for the Information and Communication Technologies degree program. Successful students will have a thorough knowledge of the computer language Java, the systematic development of programs, problem-solving and a knowledge of some of the fundamental algorithms of computer science. Essential concepts include inheritance, polymorphism, and error-handling, using exceptions.

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CS2071 Languages & Data Structures

Uses predefined classes and class libraries to introduce standard data structures (stacks, queues, sets, trees, and graphs). Studies and implements algorithms for string-searching, sorting, trees and graph traversals. Introduces algorithm complexity analysis and big-Oh (O,,) notation.

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MA2400 Discrete Mathematics

This course is designed to highlight discrete mathematical structures. Discusses propositional logic, proofs and mathematical induction, matrices of relations and digraphs, set theory and number bases, combinatorial analysis, graph theory and Boolean algebra.The prerequisite for this course is MA1010 or above or CS 1040.

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CS3015 Computer Networks

The course explains through an architecture perspective the principles and practice of computer networking, with emphasis on the Internet and on pervasive computing. The following topics will be covered: structure and components of distributed systems, layered ISO/OSI architectures, protocols, local Area Networks, wide area networking issues including routing, flow control. Some advanced topics will also be covered such as pervasive computing, ad-hoc networks, security and privacy.

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CS3032 Operating Systems

Studies the design and implementation of general-purpose operating systems on digital computers: memory management, virtual memory, storage hierarchy evaluation, multiprogramming, process creation, synchronization, deadlock, message communication, parallel programming constructs, I/O management, and file systems. Includes case studies of major operating systems.

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CS3048 Human-computer Interaction

Introduces theories of human-computer interaction and analyzes human factors related to the design, development, and use of Information Systems. Students will apply these theories with examples of design, implementation, and evaluation of multimedia user interfaces. The subject of this course is inherently interdisciplinary and the students attending the course normally represent several majors.

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CS3050 Research And Writing In Cs & Mathematics

This course addresses writing in a professional context for both Computer Science and Mathematics. Students will learn to write technical material aimed at professionals, to engage in peer review and critique (including writing a reviewing report directed to the author) and appropriate styles of writing for different audiences (e.g. children, the general public, an evaluator, professional colleagues). Students will explore quantitative and qualitative research methodologies, as well as how to design, and report on, different types of studies, including observational studies, scientific experiments, usability studies and many others. Along the way, they will learn to write in mark-up language (such as LaTeX or other) appropriate to the context.

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CS3051 Web Applications

Much of the world’s population relies on online technologies, particularly online applications accessed through a web browser, otherwise known as websites. Understanding how websites work and being able to create powerful online applications is an important aspect of the software profession. More than other digital applications, complete web applications require the integration of numerous technologies. This course will introduce students to online technologies and provide the foundations and skills needed for creating professional web applications. The course will cover HTML, CSS, Javascript, and Node.js. Students will create full-stack websites backed by a SQL database. Prior programming experience is required.

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CS3053 Software Engineering

In this course we will follow the Agile approach to software engineering. The course will use a SaaS project-oriented approach in order to teach key methodologies such as Behavior and Test Driven Development, Pair Programming, Design Patterns, Tools for Automation, Continuous Integration and others. Among technologies which will be learned are: git, github, linux, ruby, rails and various gems. Attending CS3051 and CS1050 before taking this course is recommended.

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CS3068 Database Applications

Introduces databases from the programmer's perspective. IT and CS students have common lectures but different projects. IT students learn the fundamentals of database design, SQL, and how to integrate a database into applications. CS students learn the fundamentals of database design, application integration, query motors, and space management.

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CS4095 Senior Project

A Senior Project is an independent study representing a Major Capstone Project that needs to be registered using the Senior Project registration form. (Download: https://aupforms.formstack.com/workflows/senior_project)

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OR
CS4098 Capstone Internship

An Internship can replace one elective from the ICT curriculum. It may be done in France or elsewhere. Internships may be taken for 1 or 4 credits. Students may do more than one internship, but internship credit cannot cumulatively total more than 4 credits.

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