Specific Course Outcomes

At the end of this course, the student should be able to:

1. Explain how information is stored, accessed, and represented in computers. [IL1].
2. Be fluent in the language of technology and be able to discuss the state of past, current and emerging technologies. [IL1].
3. Assess the appropriateness of various technological tools to apply to a given problem. [IL1].
4. Discuss computer applications in the context of how and when they are best applied. [IL1].
5. Understand a variety of Web-based sources for accessing information including various methods of Internet searching, communications, commercial transactions and utilities. [IL2], [IL3].
6. Discuss basic Internet security and privacy issues. [IL2], [IL5].
7. Understand how databases are created and used. [IL2], [IL4].
8. Understand and demonstrate appropriate uses of technology including basic proficiency, decision-making, and information evaluation. [IL3], [IL4], [IL5].
9. Demonstrate appropriate research strategies as applied to a specific task. [IL3].
10. Demonstrate proficiency using computer applications to organize and disseminate information related to a given task. [IL4].
11. Develop an awareness of some of the social and ethical issues raised by computers and technology. [IL4], [IL5].

LAST DATE OF AMENDMENT: 09/16/2013 (adopted the Course Learning Outcomes)

At the end of this course, the student should be able to:

1. Students demonstrate an understanding of basic programming concepts including data types, variables, modularity, parameters, conditional statements, iteration, and arrays.
2. Students demonstrate program development techniques to describe and understand the problem statement, think through input/process/output, leading to problem representation and finally coding.
3. Students demonstrate the ability to use program control structures (i.e., iteration, conditionals).
4. Students develop and use algorithms to solve a variety of problems, for instance those related to array processing, statistical calculations, image and audio processing, and text processing.
5. Students practice modular programming by developing, debugging and integrating modules into a larger program.
6. Students demonstrate the ability to use programming language specific software libraries.
7. Students demonstrate the ability to use basic file input and output.
8. Students demonstrate the ability to use software development tools from command line compile and run commands to an integrated development environment.

LAST DATE OF AMENDMENT: 09/20/2014

At the end of this course, the student should be able to:

1. Demonstrate the ability to critically analyze, appreciate, and make cogent judgments regarding form, lighting, shading, composition, and other visual elements.
2. Demonstrate an understanding of visual concepts, their development, and their application for creating works with computer graphics tools.
3. Demonstrate an understanding and appreciation of the significance of major historical, cultural, and technological developments for the medium of computer graphics, as well as its importance to modern visual art and communication.
4. Demonstrate knowledge of the importance of the medium of computer graphics as a tool for expression, communication, and visualization of meaningful ideas.
5. Students gain experience in presenting, discussing, and critiquing visual works.
6. Students gain the artistic and technical knowledge necessary to create their own computer graphics works.

LAST DATE OF AMENDMENT: 09/18/2009 (adopted the Course Learning Outcomes)

At the end of this course, the student should be able to:

1. Students develop knowledge and understanding between hardware/middleware and frameworks for high level programming languages.
2. Students develop knowledge of combinational and sequential logic circuits.
3. Students learn how modern computers are constructed from basic logic gates and sequential elements.
4. Students learn the major components of a modern processor, ALU, Control Unit and Memory.
5. Students learn how to create and use processor specific assembly language.

LAST DATE OF AMENDMENT: 03/10/2023

At the end of this course, the student should be able to:

1. Develop knowledge of Quantum bits (Qubits), superposition, measurement, entanglement (Bell states), teleportation, superdense coding. 
2. Develop an understanding of the models used to represent qubits and the operators that manipulate qubits (vectors, matrices, bloch sphere, and circuits).
3. Learn to implement quantum circuits in Python.
4. Develop an understanding of several important quantum algorithms: such as Deutsch-Josza, Bernstein-Vazirani, Simon's sQuantum Forier Transform, and Shor's Quantum Approximate Optimization Algorithm (QAOA).
5. Gain knowledge of the complexity analysis of quantum computing and Quantum SUpremacy.

LAST DATE OF AMENDMENT: 09/18/2009 (adopted the Course Learning Outcomes)

At the end of this course, the student should be able to:

1. Students gain understanding in mathematical, algorithmic, and conceptual techniques related to animating computer graphics models and environments.
2. Students develop the ability to model and rig objects and characters in 3-D using constraints, expressions, and scripting in computer animation software.
3. Students learn aspects of the topology of polygon, NURBs, and subdivision-surface modeling that relate to deformations used in animation.
4. Students understand and apply concepts of narrative structure and animation technique.
5. Students model, rig, shade, and animated characters completely of their own creation, presenting their work for class critique.
6. Students work together as a large, coordinated group to complete a fully realized animated short film project from concept through to post-production and screening.
7. Students learn aspects of digital production and workflow as applied in current industry.

LAST DATE OF AMENDMENT: 03/02/2023

At the end of this course, the student should be able to:

1. Implement basic object-oriented concepts like classes, methods, and objects and refine their knowledge of one and two-dimensional arrays, and basic program control.
2. Examine and implement more advanced object-oriented concepts (e.g., interfaces, polymorphism, inheritance, graphical user interfaces, event handling, file I/O, exceptions, encapsulation, cohesion, coupling).
3. Recognize and apply object-oriented approaches to analysis and design of algorithms.
4. Develop a sizable programming project in small teams (2-3 students).
5. Present their programming projects to their peers.
6. Document their code using a tool such as javadoc.
7. Use software development tools like Eclipse and software development processes like refactoring.
8. Recognize multi-threaded applications. 

LAST DATE OF AMENDMENT: 08/27/2009

At the end of this course, the student should be able to:

1. Students develop the ability to implement algorithms using the C language.
2. Students develop knowledge of various concepts and issues pertaining to operating system internals.
3. Students gain knowledge of solutions and algorithms developed by the computer science community to address issue of operating systems.
4. Students develop knowledge of computer data representation used by these algorithms.
5. Students work in teams to implement some of the algorithms used by operating systems.
6. Students gain knowledge of the methods used by real operating systems such as Windows, Linux, Unix, and Mac operating systems.

LAST DATE OF AMENDMENT: 10/01/2020

At the end of this course, the student should be able to:

1. Produce software components that satisfy their functional requirements without introducing vulnerabilities.
2. Describe the characteristics of secure programming.
3. Understand the vulnerabilities inherent in different programming languages.
4. Examine vulnerabilities introduced through the use of libraries and how to mitigate those vulnerabilities.
5. Examine concepts of web application technologies and security issues associated with them.
6. Describe approaches used in the development and deployment of secure web applications.
7. Explain how web applications are operated in a secure manner.

LAST DATE OF AMENDMENT: 09/04/2009

At the end of this course, the student should be able to:

1. Students develop knowledge of the mathematical foundations of computer science including set theory, relations, functions, recursion, and mathematical induction.
2. Students develop knowledge of languages and the ability to express regular languages using regular sets, regular expressions, and context-free grammars.
3. Students learn how to perform transformations of context-free grammars to normal forms.
4. Students develop knowledge of and an ability to create finite state automata that can accept regular languages. Further students, can remove non-determinism and produce minimal deterministic finite automata.
5. Students develop knowledge of and an ability to create pushdown automata that can accept context-free languages.
6. Students can determine whether a given language is regular, context-free, or neither by application of closure properties and the Pumping Lemmas.
7. Students can effectively communicate the concepts of this course by employing acceptable standard nomenclature and symbols of mathematics, proofs, sets, relations, functions, and graph theory.

LAST DATE OF AMENDMENT: 10/01/2012

At the end of this course, the student should be able to:

1. Design and Implement a simple web application. [Usage]
2. Describe the constraints that the web puts on developers. [Familiarity]
3. Compare and contrast web programming with general purpose programming. [Assessment]
4. Discuss how web standards impact software development. [Familiarity]
5. Review an existing web application against a current web standard. [Assessment]

LAST DATE OF AMENDMENT: 07/01/2010

 At the end of this course, the student should be able to:

1. Students gain understanding of the representation and generation of images using computers.
2. Students learn and practice mathematics required for representation of graphic primitives in 2D and 3D with transformations.
3. Students learn and implement algorithms for graphical representations and transformations.
4. Students gain understanding of and experience using a modern graphics pipeline.
5. Students gain experience programming 2D and 3D graphical solutions using graphical APIs such as OpenGL.
6. Students learn mathematics and algorithms for lighting and shading of graphical objects.
7. Students complete software projects related to graphics by synthesizing and combining ideas from material covered.

LAST DATE OF AMENDMENT: 06/02/2017

At the end of this course, the student should be able to:

1. Identify ethical issues as they impact computer science and related disciplines. [IL1] [IL3] [WI2]
2. Differentiate between the main ethical theories and be able to use the ethical theories in evaluating the ethical issues impacting computer science and related disciplines. [IL2] [WI1] [WI2]
3. Discuss ethical issues in writing, using appropriate reference to the established Code of Ethics of the professional society relevant to that student’s field (ACM, IEEE, etc), and apply professional codes of ethics to analyze and resolve ethical questions. [IL4] [WI1] [WI2]
4. Demonstrate the ability to write within the computer science discipline including writing one or more research papers that demonstrate the student’s grasp of ethical issues, display a clear understanding of how the ideas of other persons may be properly cited and used in written documents, and illustrate use of popular formats for presenting published papers in computer science. [WI1] [WI2]
5. Prepare and present information on a technical topic in a professional manner. [IL4]
6. Identify and locate appropriate sources of information to support decisions and written ideas. [IL1] [IL3] [IL4] [WI1]
7. Analyze and evaluate arguments using rules of logic and be able to formulate effective arguments based on sound premises. [IL3] [WI2]

LAST DATE OF AMENDMENT: 10/01/2021

 At the end of this course, the student should be able to:

1. Students gain understanding in mathematical, algorithmic, and conceptual techniques related to generating, displaying, and animating meshes for 3D computer games.
2. Students develop the ability to model and rig objects and characters in 3-D geared for realtime rendering and use in advanced game engines.
3. Students learn aspects of object representation, scene-graph hierarchy, and algorithms related to real-time rendering of graphical objects.
4. Students learn and apply mathematical concepts, including linear algebra, parametric equations, and quaternions, needed for 3D computer gaming.
5. Students learn, discuss, and consider the history, development, and design of computer games as well as basic artificial intelligence and physics for games.
6. Students design and code their own 2D game, creating all resources (sprites, images, sounds), modifying and expanding a C++ game engine for main control of rendering.
7. Students design and code their own 3D game in small groups, creating all resources (3D models, 3D terrain, textures, character rigging and animation) necessary for it, modifying and expanding a C++ game engine for game control and rendering.

LAST DATE OF AMENDMENT: 10/01/2020

At the end of this course, the student should be able to:

1. Translate latest research into practical tools for deep machine learning solutions.
2. Leverage pre-existing learning models to solve adjacent problems.
3. Tune models through hyperparameter tuning, regularization, and optimization.
4. Structure a real-world deep machine learning problem and execute it from data to training to inference to deployment.
5. Develop a deep machine learning solution to a practical problem or challenge

LAST DATE OF AMENDMENT: 12/27/2022

At the end of this course, the student should be able to:

1. Students become familiar with common programming paradigms such as imperative, object-oriented, functional, and logic programming by studying representative programming languages.
2. Students demonstrate the ability to learn a new programming language well enough to implement simple algorithms
3. Students demonstrate knowledge of crosscutting concerns, such as types, scope rules, parameter passing techniques, memory management, with respect to programming languages.
4. Students demonstrate knowledge of issues related to the implementation of programming languages such as grammars, parsing, compiling, linking, and virtual machines.
5. Students develop the ability to implement algorithms using 5 or 6 different languages.
6. Students gain the confidence to learn a new programming language well enough to implement simple algorithms.
7. Students learn the history of programming languages and how they were developed.
8. Students develop knowledge of various concepts and issues pertaining to programming languages.
9. Student gain knowledge of the implementation of programming languages.
10. Students gain knowledge of the strengths and weaknesses of programming languages as well as the domains for which they are intended.

LAST DATE OF AMENDMENT: 02/17/2010

At the end of this course, the student should be able to:

1. Students develop knowledge of single and multi-processor organization alternatives.
2. Students develop knowledge of I/O sub-system design alternatives.
3. Students learn how pipelined processing is used to provide instruction level parallelism.
4. Students learn to use CPU simulation as a tool to evaluate the consequences of processor architectural decisions.
5. Students learn alternative strategies for multi-level and virtual memory design.
6. Students develop a knowledge of architectural alternatives that enables them to choose algorithms that exploit architectural features appropriately.

LAST DATE OF AMENDMENT: 03/02/2023

At the end of this course, the student should be able to:

1. Construct quality software as part of a team and evaluate software design choices.
2. Apply current theories, models, techniques and tools during problem identification and analysis, requirements specification, software design, implementation, software testing, software evolution and documentation.
3. Design alternative solutions to a given problem and describe and reconcile alternate approaches taking into considerations technical and non-technical concerns.
4. Develop the knowledge, skills, and professional awareness foundational to the practice of software engineers including an appreciation for the need for continuing professional development, leadership, good communication, negotiation, as well as effective work habits.
5. Defend design decisions as evidenced by artifacts created during the software development lifecycle, and present technical software engineering material both orally and in writing.
6. Critically analyze, evaluate and discuss in writing theories, models, techniques and tools relevant to problem identification and analysis, requirements specification, software design, implementation, software testing, software evolution, documentation, and product security as well as the ethical and societal impact of software engineering.
7. Demonstrate the ability to analyze and evaluate arguments using rules of logic and display a clear understanding of how the ideas of other persons may be properly cited and used in written documents.
8. Identify and locate appropriate sources of software engineering and related information to support decisions and written ideas.

LAST DATE OF AMENDMENT: 10/01/2020

At the end of this course, the student should be able to:

1. Build a deep understanding of the theory of classical computer vision algorithms.
2. Learn newer approaches to solving the same problems with learning-based techniques.
3. Be able to compare the requirements and benefits of different types of vision algorithms and apply the best one to a particular scenario.
4. Develop the ability to use their new knowledge to design and build computer vision programs for real-world applications.
5. Gain familiarity with the operation, benefits, and limitations of applicable data-acquisition equipment used in computer vision work such as cameras, video cameras, document scanners, RGBD sensors, infrared sensors, laser scanners, hyperspectral cameras, etc.
6. Consider the societal impacts and ethical matters surrounding the development of the computer vision field.

LAST DATE OF AMENDMENT: 02/17/2010

At the end of this course, the student should be able to:

1. Describe the process of translating a high-level program into machine code.
2. List and explain the algorithms used at various phases of the compile process.
3. Create and explain the data structures used at various phases of the compile process.
4. Describe the process of implementing programming language constructs.
5. Implement a working compiler for a small subset of a high-level language.
6. Evaluate and describe the impact on performance and space of using various constructs and techniques of a given programming language.

LAST DATE OF AMENDMENT: 10/01/2020

At the end of this course, the student should be able to:

1. Demonstrate an understanding of fundamental techniques, processes, technologies and equipments in immersive virtual reality.
2. Begin to explore materials and processes used in immersive virtual reality.
3. Show a basic awareness and understanding of historical and theoretical contexts relevant to immersive virtual reality.
4. Build a comprehensive virtual reality experience.

LAST DATE OF AMENDMENT: 10/01/2020

At the end of this course, the student should be able to:

1. Describe how various cryptographic algorithms and protocols work.
2. Evaluate security mechanisms based on cryptography.
3. Describe the application of cryptography in SSL, virtual private networks, secure storage, and other security applications.
4. Take a mode or protocol diagram and identify how an error propagates through the cryptosystem.

1. LAST DATE OF AMENDMENT: 10/01/2020

   At the end of this course, the student should be able to:

   1. Describe software security analysis tools and techniques.
   2. Apply their knowledge to perform software security analysis, using common tools, against previously unknown software components.
   3. Describe compilation process that translates high-level code to machine code.
   4. Safely describe and decompose malware samples.

LAST DATE OF AMENDMENT: 10/01/2020

At the end of this course, the student should be able to:

1. Outline physical vulnerabilities of hardware devices.
2. Explain and make use of security capabilities implemented in hardware.
3. Describe how systems are initialized and how software is validated and loaded.
4. Describe the security role of intermediate software such as hardware abstraction layers or other forms of middleware.