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Compilers And Interpreters
Advanced Algorithms & Data Structures
Computer Networks
Communication Systems
Advanced Computer And Network Security
Distributed Computing
Models Of Software Systems
Advanced Embedded Systems
Concurrency: Theory And Practice
Advanced Human-Computer Interaction
Data Mining
Spatial And Multimedia Databases
Information Retrieval And Web Search
Systems Engineering
Systems Safety Engineering
Engineering Project Management
Operating Systems Architecture
Algorithms & Data Structures
Information Security
The Software Process
Embedded Systems Design & Interfacing
Social & Mobile Computing
Web Information Systems
Service-Oriented Architectures
Information Analysis & Design
Advanced Database Systems
Business Information Systems


Compilers and Interpreters

Interpreter: An Interpreter is a program that implements or simulates a virtual machine using the base set of instructions of a programming language as its machine language. You can also think of an Interpreter as a program that implements a library containing the implementation of the basic instruction set of a programming language in machine language.

Compiler: A Compiler is a program that translates code of a programming language in machine code, also called object code. The object code can be executed directly on the machine where it was compiled.

Advanced Algorithms & Data Structures

Machine Learning

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning.

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

Computer Networks

Definition - What does Computer Network mean?

A computer network is a group of computer systems and other computing hardware devices that are linked together through communication channels to facilitate communication and resource-sharing among a wide range of users. Networks are commonly categorized based on their characteristics.

Techopedia explains Computer Network

One of the earliest examples of a computer network was a network of communicating computers that functioned as part of the U.S. military's Semi-Automatic Ground Environment (SAGE) radar system. In 1969, the University of California at Los Angeles, the Stanford Research Institute, the University of California at Santa Barbara and the University of Utah were connected as part of the Advanced Research Projects Agency Network (ARPANET) project. It is this network that evolved to become what we now call the Internet.

Networks are used to:

  • Facilitate communication via email, video conferencing, instant messaging, etc.
  • Enable multiple users to share a single hardware device like a printer or scanner
  • Enable file sharing across the network
  • Allow for the sharing of software or operating programs on remote systems
  • Make information easier to access and maintain among network users

There are many types of networks, including:

  • Local Area Networks (LAN)
  • Personal Area Networks (PAN)
  • Home Area Networks (HAN)
  • Wide Area Networks (WAN)
  • Campus Networks
  • Metropolitan Area Networks (MAN)
  • Enterprise Private Networks
  • Internetworks
  • Backbone Networks (BBN)
  • Global Area Networks (GAN)
  • The Internet

Communication Systems

Creating an interconnected world

In the Internet age, information circulates at an increasingly vertiginous rate: data, photos, music, and videos are continuously exchanged. Communication networks allow this information to circulate across the globe in the blink of an eye and have placed the world at our fingertips. And yet if this new world seems easy to navigate, the study of this subtle universe where mathematics, computer science and electrical engineering merge is truly fascinating. To study communication systems is to be at the heart of the challenges facing our society.

Communication systems, the fabric of our society

Being able to access information everywhere despite noise and interference, sharing and using this information, encoding it, designing reliable and efficient networks, ensuring that information is transmitted securely, protecting users through data encryption, capturing and editing sound and images; this wide range of courses during your studies is a reflection of diversity in our society. It is true that information is power, and as a communication systems engineer you will have a real impact on the world.

Advanced Computer and Network Security

This will study the fundamental principles of computer network security. Security related research topics in both wired and wireless networks will be given according to student backgrounds and the process of the lectures. The topics will be covered prmarily in authentication, access control, capability, security policies, basic cryptography, and software vulnerabilities. You will gain exposure to burgeoning areas of network security and learn how to use the tools commonly used for networking research today. Most of these principles will be studied within the scope of concrete systems, such as Linux, Windows, Minix, and Cloud Computing. The course emphasize on "learning by doing". It requires students to conduct a research related project to enhance their understanding of principles, and also to provide students with oppurtunities to apply those principles.

Distributed Computing

What Is Distributed Computing?

What you need is a distributed computing system. A distributed system uses software to coordinate tasks that are performed on multiple computers simultaneously. The computers interact to achieve a common goal, and they interact by sending each other messages. In the case of the software you developed, the actual calculations need to be broken up into separate elements that can be run on different computers. Some calculations may be entirely sequential, meaning that you can only go to step two after step one has been completed. However, some calculations may be able to run in parallel, meaning that you can break them up into elements, run them separately but at the same time, and then combine the results. Distributed computing is used to solve complex computational problems that cannot be completed within a reasonable amount of time on a single computer. The time necessary to complete all the calculations is reduced by harnessing the power of multiple computers. The example of the software you developed illustrates the biggest challenge in distributed computing. Not only do you need to come up with the calculations to solve the particular task at hand, you also need to be able to break it up into elements that can be run separately. Once you have been able to accomplish this, you also need special controller software that manages the resources of the various computers. The computer unit running this software is also referred to as the 'master computer,' while the other units are called 'workers.' The controller software allocates tasks to individual computers and combines their results when the tasks are completed. Messages between computers are used to send requests and results back and forth and to check on the progress of task completion. One of the major benefits of distributed computing is that the individual computers do not have to be all in the same place. In fact, you may not even have to own all the computers. Many computers sit around much of the day doing nothing. What if individual computer users made their computer processing power available over the Internet when they are not using their computer? This is known as 'volunteer distributed computing.' The SETI@home project is one of the more famous examples of this approach. With over five million users and over two million years of aggregate computing time, it is recognized as the largest computation in history. Go distributed computing!

Models of Software Systems

Scientific foundations for software engineering depend on the use of precise, abstract models and logics for characterizing and reasoning about properties of software systems. There are a number of basic models and logics that over time have proven to be particularly important and pervasive in the study of software systems. This course is concerned with that body of knowledge. It considers many of the standard models for representing sequential and concurrent systems, such as state machines, algebras, and traces. It shows how different logics can be used to specify properties of software systems, such as functional correctness, deadlock freedom, and internal consistency. Concepts such as composition mechanisms, abstraction relations, invariants, non-determinism, inductive and denotational descriptions are recurrent themes throughout the course. By the end of the course you should be able to understand the strengths and weaknesses of certain models and logics, including state machines, algebraic and trace models, and temporal logics. You should be able to apply this understanding to select and describe abstract formal models for certain classes of systems. Further, you should be able to reason formally about the elementary properties of modeled systems.

Advanced Embedded Systems

An embedded system is a computer system with a dedicated function within a larger mechanical or electrical system, often with real-time computing constraints.It is embedded as part of a complete device often including hardware and mechanical parts. Embedded systems control many devices in common use today. Examples of properties typical of embedded computers when compared with general-purpose ones are low power consumption, small size, rugged operating ranges, and low per-unit cost. This comes at the price of limited processing resources, which make them significantly more difficult to program and to interface with. However, by building intelligence mechanisms on the top of the hardware, taking advantage of possible existing sensors and the existence of a network of embedded units, one can both optimally manage available resources at the unit and network levels as well as provide augmented functionalities, well beyond those available.For example, intelligent techniques can be designed to manage power consumption of embedded systems.

Concurrency: Theory and Practice

The Theory and Practice of Concurrency

The theory and practice of concurrency is a comprehensive text on Communicating Sequential Processes, allowing readers to advance from complete beginners to the state of the art in both the theory of CSP and in its practical application. It assumes only a basic knowledge of sets, sequences and functions. The first part provides a foundation course on CSP suitable for an undergraduate or introductory graduate course. The second part covers the theory of CSP, demonstrating a variety of semantic approaches. The third part shows how issues such as security, real-time, fault-tolerance, protocols, and distributed databases can be modelled and verified using CSP and its automated tools.

Advanced Human-Computer Interaction

The programme in Human Computer Interaction and Design focuses on study, design, development and evaluation of novel user interfaces and interactive systems taking into account human aspects, at the cognitive and sensory-motor levels, technological aspects, as well as business aspects. The HCID programme is an interdisciplinary programme that offers courses on design and evaluation of interactive systems with a strong emphasis on user-centered design techniques: understanding the human capacities and consequences of using information technology as a tool for solving work related tasks, and developing and evaluating the systems by putting the user at the center of the design process. In addition, the program will create a business thinking in terms of user profiles, user segments, house style, branding, and market development and product introductions. Achieving the right user experience is important for marketing products and services and a necessary component for commercial success, as is witnessed nowadays in the smart phone market. Knowing how to translate interactive services into business opportunities and into attractive products is strategic. The programme will offer seven specialisations: (1) Mobile and ubiquitous interaction, (2) User modeling, (3) Situated interaction, (4) Multimodal interaction, (5) Intelligent systems, (6) Affective computing, (7) Cognitive interaction.

Data Mining

What is Data Mining?

Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases.

Spatial and Multimedia Databases

What are Spatial Databases

A spatial database is a database that is optimized to store and query data related to objects in space, including points, lines and polygons. It is a collection of spatially referenced data that acts as a model of reality

Types of Spatial Data Types of Spatial Data

Point Data Points in a multidimensional space E.g., Raster data such as satellite imagery, where each pixel stores a measured valueE.g., Feature vectors extracted from text

Region Data ƒ Objects have spatial extent with location and boundary ƒ DB typically uses geometric approximations constructed using line segments, polygons, etc., called vector data.

Multimedia Databases

ƒA multimedia system is a computer controlled integration of medial information objects of different types (text, images, audio, video,). The integration refers to:
• Data modeling
• Storage
• Presentation
• 'I'ime synchronization
A promise is that the media must be digitally represented, or at least digitally controllable.

Information Retrieval and Web Search

Information retrieval is the process of searching within a document collection for information most relevant to a user’s query. However, the type of document collection significantly affects the methods and algorithms used to process queries. In this chapter, we distinguish between two types of document collections: traditional and Web collections. Traditional information retrieval is search within small, controlled, nonlinked collections (e.g., a collection of medical orlegal documents), whereas Web information retrieval is search within the world’s largest and linked document collection. In spite of the proliferation of the Web, more traditional nonlinked collections still exist, and there is still a place for the older methods of information retrieval.

Systems Engineering

Systems engineering is an interdisciplinary field of engineering that focuses on how to design and manage complex engineering systems over their life cycles. Issues such as requirements engineering, reliability, logistics, coordination of different teams, testing and evaluation, maintainability and many other disciplines necessary for successful system development, design, implementation, and ultimate decommission become more difficult when dealing with large or complex projects. Systems engineering deals with work-processes, optimization methods, and risk management tools in such projects. It overlaps technical and human-centered disciplines such as control engineering, industrial engineering, software engineering, organizational studies, and project management. Systems engineering ensures that all likely aspects of a project or system are considered, and integrated into a whole.

Systems Safety Engineering

Safety engineering is an engineering discipline which assures that engineered systems provide acceptable levels of safety. It is strongly related to systems engineering, industrial engineering and the subset system safety engineering. Safety engineering assures that a life-critical system behaves as needed, even when components fail.

Engineering Project Management

The Engineering Project Management certificate is intended to help meet the requirements of industry by educating undergraduate engineering students to understand complex engineering projects, project organizations and project management methods. Students completing this certificate will be able to work effectively in multidisciplinary engineering projects immediately after completion and to advance more rapidly within the project management organization and profession. The management of projects entails technical knowledge, engineering skills and management skills.

Operating Systems Architecture

Learning objectives

• Explain how OS functionality is orthogonal to where you place services relative to processor modes.

• Describe some alternative ways to structure the operating system.

• Operating systems evolve over time, but that evolution is frequently in terms of their architecture: how they structure functionality relative to protection boundaries

We’ll review some of the basic architectures

• Executives
• Monolithic kernels
• Micro kernels
• Exo kernels
• Extensible operating systems

Algorithms & Data Structures

The modern digital computer was invented and intended as a device that should facilitate and speed up complicated and time-consuming computations. In the majority of applications its capability to store and access large amounts of information plays the dominant part and is considered to be its primary characteristic, and its ability to compute, i.e., to calculate, to perform arithmetic, has in many cases become almost irrelevant.


a process or set of rules used for calculation or problem-solving, esp. with a computer.


a series of coded instructions to control the operation of a computer or other machine.


Euclid's Algorithm: while m is greater than zero:
If n is greater than m, swap m and n.
Subtract n from m.
n is the GCD
Program (in C):
int gcd(int m, int n)
/* precondition: m>0 and n>0. Let g=gcd(m,n). */
{ while( m > 0 )
{ /* invariant: gcd(m,n)=g */
if( n > m )
{ int t = m; m = n; n = t; } /* swap */
/* m >= n > 0 */
m -= n;
return n;

Information Security

Information security means protecting information and information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. The terms information security, computer security and information assurance are frequently used interchangeably. These fields are interrelated and share the common goals of protecting the confidentiality, integrity and availability of information; however, there are some subtle differences between them. These differences lie primarily in the approach to the subject, the methodologies used, and the areas of concentration. Information security is concerned with the confidentiality, integrity and availability of data regardless of the form the data may take: electronic, print, or other forms.

The Software Process

What is software process

Software Process : Process defines a framework for a set of Key Process Areas (KPAs) that must be established for effective delivery of software engineering technology. This establishes the context in which technical methods are applied, work products such as models, documents, data, reports, forms, etc. are produced, milestones are established, quality is ensured, and change is properly managed.

Embedded Systems Design & Interfacing

Effective user interface design for embedded systems starts with recognizing the user interface as important and then putting users at the center of the design and development process. Embedded systems developers need to be aware of established general principles of human-machine interaction as well as the special features and constraints that characterize their particular embedded system applications. A view that bridges hardware and software design issues is needed.

Social & Mobile Computing

Social computing is an area of computer science that is concerned with the intersection of social behavior and computational systems. It is based on creating or recreating social conventions and social contexts through the use of software and technology. Thus, blogs, email, instant messaging, social network services, wikis, social bookmarking and other instances of what is often called social software illustrate ideas from social computing, but also other kinds of software applications where people interact socially.

Web Information Systems

Web-based information displays many benefits of multimedia technology. Using today's fast broadband connections, it is possible to stream sophisticated content to a computer anywhere in the world. This is an advantage for many people as the information can be received and read wherever and whenever it is convenient for them, which can be a crucial factor for a busy executive. A significant amount of interactive multimedia content is now delivered via the internet. Web information system, or web-based information system, is an information system that uses Internet web technologies to deliver information and services, to users or other information systems/applications. It is a software system whose main purpose is to publish and maintain data by using hypertext-based principles. A web information system usually consists of one or more web applications, specific functionality-oriented components, together with information components and other non-web components. Web browser is typically used as front-end whereas database as back-end.

Service-Oriented Architectures

A service-oriented architecture is essentially a collection of services. These services communicate with each other. The communication can involve either simple data passing or it could involve two or more services coordinating some activity. Some means of connecting services to each other is needed. Service-oriented architectures are not a new thing. The first service-oriented architecture for many people in the past was with the use DCOM or Object Request Brokers (ORBs) based on the CORBA specification. For more on DCOM and CORBA.

Information Analysis & Design

The Department of Information Systems and Analysis offers both a Bachelor of Business Administration major and a minor program in Management Information Systems (MIS). MIS courses are integrated with SAP education through the SAP-University Alliance Program. The following requirements are effective for all students entering or transferring into the MIS program. A minimum GPA of 2.0 is required to enter and remain in this program. A minimum GPA of 2.5 in MIS courses is required to successfully complete the major in MIS. A student can obtain a minor in MIS by completing 18 credit hours of approved courses listed in the Lamar University catalog. Management Information Systems is the application of technology to solve business problems. An MIS professional will apply technology to integrate and support business functions such as accounting, finance, marketing, and management. MIS students learn to analyze, design, develop, and maintain information systems to support business activities across the organization. MIS students are taught a variety of software such as Oracle, many different SAP modules, Adobe CS5, Tableau, Visible Analyst (CASE tool), Visual Basic, MS Project, MS Office, etc. Graduates of the MIS program are highly sought after as a result of their training in analysis and problem solving. They contribute to performance improvement of the organizations through planning and implementation of information systems. They are prepared to meet the challenges of a global environment characterized by rapid technological change because they have mastered many professional skills. The program prepares graduates to communicate effectively both orally and in writing. It requires students to develop interpersonal skills and to apply both qualitative and quantitative techniques to solve business problems in group and team settings. According to the U.S. Department of Labor projections, jobs in MIS and related areas will grow at a faster rate than most other areas. Careers awaiting the graduate with a Bachelor of Business Administration (B.B.A.) degree in Management Information Systems (MIS) include: Systems Analyst, SAP Consultant, IT Project Manager, Database & Data Warehousing Administrator, SAP Business Analyst, Computer Support Specialist, Electronic Commerce Manager, Web Designer, and Customer Support Specialist.

Advanced Database Systems

A database management system (DBMS) is a computer program (or more typically, a suite of them) designed to manage a database, a large set of structured data, and run operations on the data requested by numerous users. Typical examples of DBMS use include accounting, human resources and customer support systems.

Business Information Systems

Business information systems (BIS) can be defined as systems integrating information technology, people and business. BIS bring business functions and information modules together for establishing effective communication channels which are useful for making timely and accurate decisions and in turn contribute to organisational productivity and competitiveness. This paradigm shift leads to global outsourcing, strategic alliances and partnerships to be competitive in terms of price, quality, flexibility, dependability, responsiveness. IJBIS highlights new strategies, techniques, tools and technologies for developing suitable BIS.

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