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Computer Science – Concentration in Artificial Intelligence

Integrated Bachelor's-Master's

Home » All Programs » Computer Science – Concentration in Artificial Intelligence

» Program Overview

No other contemporary scientific development so clearly delineates the unmistakable border between the past and the future as the recent advances in artificial intelligence. AI represents a true frontier; now that it is here, nothing will remain the same, and in a world transformed by this nearly-miraculous feat of science and engineering, the only constant will be change.

Professionals versed in the fundamentals of AI will soon be sought across business and industry, their knowledge and skills required by private and public interests alike. From production and programming to integration and interaction, experts will be needed to help guide and support every aspect of this technological revolution.

What is an Integrated Bachelor’s-Master’s Program?

Did you know that at LTU, you have the opportunity to earn both a Bachelor’s and Master’s degree in Computer Science all in just five years? This helps prepare you for a Ph.D. or helps you get a head start in your industry career with a higher salary.

Why LTU?

  • Curriculum: The degree program merges multiple disciplines with computer science incorporating mathematics and statistics with potential for further integration with cognitive psychology providing a comprehensive understanding of AI. This allows students to gain an integrated understanding of AI systems, their development, and their implications.
  • Real-World Applications and Projects: LTU offers students the opportunity to engage in practical applications of AI technologies from text applications to robotics.
  • Innovation and Research Opportunities: Unique Bachelor’s degree programs in AI often offer extensive research opportunities incorporated into the course with our Course-based Research Experiences (CRE) . Students gain experience with the research process and are encouraged to publish their work, attend conferences, or even develop their own AI start-ups. Many do present their work at our annual Research Day held in April of each year.
  • Strong Ethical and Societal Impact Focus: The degree program  provides a strong focus on the ethical implications of AI, teaching students to develop and use AI responsibly. Courses discuss topics like bias in AI, privacy issues, and the potential impacts of AI on employment and society.

» Curriculum

Fall Semester

Course Name

Course #

Credits

Foundations of Amer Exper

Aspects of philosophy, political theory, science, art and religion, from ancient Egypt to 1789, as they have contributed to the formation of the American experience Readings include selections from Plato, Aristotle, the Bible, Machiavelli, Hobbes, and other important thinkers. The student’s ability to reflect critically upon the major ideas, values, institutions, events and personalities that have helped to shape the contemporary United States is emphasized. Seeks to foster an attitude of critical engagement and to develop students’ writing and oral skills through papers and class participation. Lecture 3 hours. 3 hours credit. This course may be taken concurrently with COM1103 English Composition.

SSC2413

3

College Composition

College Composition develops students’ acquisition of the fundamental principles of academic writing. This course focuses on the development of writing thesis statements and main arguments, topic sentences, transitional words and phrases, supporting paragraphs, use of evidence, essay organization, and research skills. Extensive writing and research practice is required.

COM1103

3

Foundations of Computer Science

An overview of computer science for CS and non-CS majors with the overarching objective to develop a computational mindset. For CS majors, to gain an appreciation of the relevance of the various computing topics and interrelationships for future courses. For non-CS majors, to provide the necessary technological background to appreciate and integrate into today’s technical society.

MCS1243

3

Calculus 1

Topics include, limits and continuity, differentiation of algebraic and transcendental functions, mean value theorem, applications of differentiation, anti-derivatives, indefinite integrals, inverse trigonometric functions, substitutions, definite integrals, the Fundamental Theorem of Calculus, applications of integration. Applications will be emphasized. In addition to regular class meetings, all students are required to participate in calculus lab sessions. The schedule, frequency, and modality of these labs may vary by section. Refer to the class schedule and course syllabus for details.

MCS1414

4

Pathways to Research Careers

Pathways 1001 introduces first-year Arts & Sciences majors to the diversity of research projects being pursued by the college’s students and faculty, and the career paths available to graduates with technical research credentials. Students meet both in small work-group sessions and common lecture/demonstrations. Pathways emphasizes the collaborative nature of innovation, and the importance of leadership, teamwork, diversity and ethics to its success. Pathways introduces students to the professional environment of the University community, campus resources and services.

COM1001

1

Total Credits:

14

Spring Semester

Course Name

Course #

Credits

Development of Amer Exper

A continuation of the study of philosophy, political theory, science, art and religion begun in Foundations of the American Experience. Discusses the framing of the United States Constitution in the late 18th century, and examines the works of important social documents of the 19th and 20th centuries. Both primary texts and selected readings in issues of contemporary importance are read. Develops students’ writing and verbal skills through written assignments and class presentations. Lecture 3 hours. 3 hours credit

SSC2423

3

World Masterpieces1

Exploration of the great works of world literature and art in their historical contexts so that students may discover the variety and development of human thought and feeling in various cultures. Works of the Classical, Medieval, and Renaissance periods in Europe as well as Asian and Middle-Eastern works that have influenced the West, in the forms of poetry, drama, fiction, visual art, and music. A writing-intensive course requiring outside papers and essay tests. Approximately 80 percent of the course is devoted to the study of literature. This course may be taken concurrently with COM1103 English Composition. Lecture 3 hours, 3 hours credit.

LLT1213

3

Elective

SSC/PSY/XXX3

3

Computer Science 1

Introduction to programming with C++. Binary, two’s complement, decimal, hex, and octal representations. Variable types. Simple, iterative, and conditional statements. Procedure and functions with parameters by value and reference with or without a returning value. Arrays and vectors, multidimensional arrays, bubble and selection sorts, linear and binary search. Pointer and dynamic memory allocation, character and C-strings, file input/output (sequential). Classes, friends, array of objects, and operators’ overloading. Inheritance, polymorphism, virtual function, and recursion.

MCS1514

4

Calculus 2

Hyperbolic functions, L’Hospital’s rule, techniques of integration, application to arc length and surface area, polar coordinates, infinite series, Taylor Series. In addition to regular class meetings, all students are required to participate in calculus lab sessions. The schedule, frequency, and modality of these labs may vary by section. Refer to the class schedule and course syllabus for details.

MCS1424

4

Total Credits:

17

Fall Semester

Course Name

Course #

Credits

Coding Club (1st of 2)

This one credit course will focus on programming languages such as Scratch, Python, Javascript, Ruby, R, PHP, C# or Matlab. Students will be expected to work in groups on coding projects that will focus on syntax and semantics with application to a specific language.

MCS1111

1

World Masterpiece2

Works of the Neoclassical, Romantic, Modern and Post-Modern eras in Europe and North American, as well as those from Asia, Africa, and Latin America. Works selected may include poetry, drama, fiction, the visual arts, and music. A writing-intensive course requiring outside papers and essay tests. Approximately 80 percent of the course is devoted to the study of literature. This course may be taken concurrently with COM1103 English Composition. Lecture 3 hours, 3 hours credit.

LLT1223

3

Computer Science 2

Records, advanced file input/output (random access), dynamic memory allocation. Static and dynamic implementation of stacks, linked lists (ordered and unordered), queue (regular and priority), circular queues. Selection and insertion sort, binary search. Lecture 3 hrs., Lab 1hr.

MCS2514

4

Discrete Math

Number Theory, review of induction and recursion, advanced counting, equivalence, partial ordering, graphs, trees.

MCS2523

3

Calculus 3

Three-dimensional analytic geometry. Vectors, vector-valued functions, motions in space, functions of several variables, partial differentiation, multiple integration, integration of vector fields, Green’s Theorem and Divergence Theorem.

MCS2414

4

Total Credits:

15

Spring Semester

Course Name

Course #

Credits

General Elective

XXX3

3

Tech & Prof Comunication

Training in a systematic method for producing effective technical communication, written reports, letters, and memos as well as oral presentations. Lecture 3 hours. 3 hours credit

COM2103

3

Software Engineering 1

This course is a brief overview of software engineering topics including software development models, requirements, software design & implementation, software debugging & testing, software maintenance, software quality & metrics, and software project management. Focused in depth learning goals include system modelling & analysis tools, model-based design, coding standards, IDE tools, version control systems, and the introduction of agile software development methodologies. In addition to theories, students will practice in the development of a long-running software project applying & utilizing software engineering techniques & tools covered in class.

MCS3643

3

Functional Programming

An introduction to functional programming. Induction and recursion, symbolic computation, higher-order functions, polymorphism, data abstraction and modularity, invariants, demand-driven programming, exception handling, and computability. Lecture 3 hrs.

MCS3633

3

Data Structures

Analysis of algorithms, Big Oh notation, asymptotic behavior. Advanced sorting (heapsort, quicksort), external sorting. Binary, multiway, and AVL trees. Lecture 4 hrs.

MCS2534

4

MCS Seminar

Each Spring, the faculty in Mathematics and Computer Science will provide students with an overview of the research they are working on. This will provide students with the opportunity gain critical exposure to research ideas early on in their academic careers. Each week a different faculty member will host the meeting to allow students to ask questions and to learn what is current in the field of math and computer science. Meetings will be hosted virtually, via Zoom.

MCS2111

1

Total Credits:

17

Fall Semester

Course Name

Course #

Credits

MCS Math Elective

Course not found.

MCSXXX3

3

Coding Club (2 of 2)

This one credit course will focus on programming languages such as Scratch, Python, Javascript, Ruby, R, PHP, C# or Matlab. Students will be expected to work in groups on coding projects that will focus on syntax and semantics with application to a specific language.

MCS1111

1

Intro to Database Systems

Course not found.

MCS3543

3

Comp.Arch. & Assembler

Basic Structure of computer hardware and assembly programming. Internal representation, processing unit arithmetic, memory addressing modes, stack processing, CISC, RISC. Lecture 3 hrs.

MCS3663

3

Univ. Physics 1

Calculus based kinematics and dynamics of particles, conservation of energy, momentum, rotational dynamics and statics, fluids, temperature and heat, and laws of thermodynamics. 3 Credit hours. Lecture 3 hrs., Studio 1 hr. The following course can be taken concurrently with this course: MCS1424.

PHY2413

3

Univ. Physics 1 Lab

Introductory laboratory experiments to complement University Physics 1. 1 Credit Hours. Lab 2 hrs.

PHY2421

1

Total Credits:

14

Spring Semester

Course Name

Course #

Credits

Linear Algebra

Systems of linear equations, matrices, determinants, eigenvalues, eigenvectors, Finite-dimensional vector spaces, linear transformations and their matrices, Gram-Schmidt orthogonalization, inner product spaces. Lecture 3 hrs.

MCS3863

3

General Elective

xxx3

3

Jr./Sr. Elective

SSC/PSY 3/4xx3

3

Operating Systems

This course focuses on the core concepts that underlie contemporary operating systems. It introduces the structure and responsibilities of operating systems, discusses the cutting-edge advances in computing that are redefining operating systems, and addresses design considerations, such as performance, fault tolerance, security, modularity, and cost.
Topics include Operating System Architecture, Process Concepts and Management, Thread Concepts, Asynchronous Concurrent Execution, Concurrent Programming, Deadlock and Indefinite Postponement, Processor Scheduling Algorithms, Real Memory Organization and Management, Virtual Memory Organization and Management, Disk Performance Optimization, RAID, File Systems, and Case Studies.

MCS4663

3

Elective

Nat Sci xxx3

3

Total Credits:

15

Fall Semester

Course Name

Course #

Credits

Topics in CS: Neural Net Deep Learning with Python

Topics of current interest in mathematics and computer science. (May be taken more than once if the topic is different.)

MCS4993

3

Machine Learning & Pattern Recognition

The objective of the course is to study, understand, and practice the concepts of machine learning and pattern recognition. The course will cover the basic aspects of pattern recognition and machine learning such as different approaches to feature selection, classification methods, interpolation methods, and techniques of machine learning performance evaluation. In the end of the course the students will be able to implement all aspects of pattern recognition to create a working machine learning system that will solve a real-life pattern recognition problem.

MCS5623

3

Senior Project

The senior project is an intensive study of problems in either Computer Science or Applied Mathematics. Problems in CS can include software system development where students participate in specifying, designing, developing, coding, and testing complex software systems. Problems in AM can include the development and implementation of mathematical and computational models to address problems of interest.

MCS4833

3

Computer Networks

Transmission media, local asynchronous communication (RS232) long distance communication, LAN Technologies, network topologies, hardware addressing, LAN wiring, physical topologies, interface hardware, extending LANs, fiber modems repeaters, bridges, and switches, WAN topologies and routing. Lecture 3 hrs.

MCS4613

3

Theory of Computation

Beginning course on theory of computation. Regular languages, finite automata, context-free language, Turing Machine, Chomsky hierarchy, applications to parsing. Lecture 3 hrs.

MCS5243

3

Pathways Capstone Lab

Pathways 4001 is the capstone course for CoAS majors’ Pathways Program. The course meets for 4 half-day Saturday sessions fall term. The course’s work requirements are satisfied throughout students’ final year under the supervision of the Pathways Program Director. Requirements include: a) mentoring first-year CoAS majors in the Pathways 1001 course, b) participation in an extra- or co- curricular activity related to major research field, c) incorporation of leadership / ethics issues in senior thesis / capstone project.

COM4001

1

Total Credits:

16

Spring Semester

Course Name

Course #

Credits

Jr./Sr. Elective

LLT 3/4xx3

3

Artificial Intelligence

This course introduces the fundamental concepts & methods of knowledge representation, perception, reasoning, problem solving, data-mining, and machine learning in Artificial Intelligence (AI). Topics covered include Knowledge-Based Systems, Rule-Based Expert Systems, Uncertainty Management, Fuzzy Systems, Artificial Neural Networks, Evolutionary Computation, Semantic Web, and Autonomous Robotics.

MCS5323

3

Senior Project 2

Continuation of Senior Project for projects that cannot be completed in one semester.

MCS4843

3

Topics: Text Mining & Analytics

Current trends and technology in computer science will be presented to Freshman and Sophomores to provide opportunities to begin to study and research a specialized topic. Topics will be decided by the faculty who are teaching.

MCS5993

3

Comparative Prog Lang

This course will cover survey of the four various programming languages in the imperative, multiprogramming, functional and logical domains. An understanding of the fundamental design and language concepts provides the foundation for the critical examination and implementation of programming language paradigms from lexical and syntactical perspective.

MCS4643

3

Total Credits:

15

Fall Semester

Course Name

Course #

Credits

Algorithm Design & Analysis

Building on a first undergraduate course in data structures, this course contains a deeper analysis of the design of efficient algorithms on data structures for problems in sorting, searching, graph theory, combinatorial optimization, computational geometry, and algebraic computation. Topics covered in the course include divide-and-conquer, dynamic programming, greedy method, and approximation algorithms.

MCS5803

3

MCS Elective

xxx3

3

Topics In CS

Topics of current interest in mathematics and computer science. (May be taken more than once if the topic is different.)

MCS5993

3

Collab 1

Must have permission of program director. Initiation of work on a large-scale computer science team or project at the student’s workplace. Students work closely with a faculty member and an industry representative.

MCS7013

3

Total Credits:

12

Spring Semester

Course Name

Course #

Credits

MCS Elective

xxx3

3

Topics In CS

Topics of current interest in mathematics and computer science. (May be taken more than once if the topic is different.)

MCS5993

3

Collab 2

Completion of the computer science project began in MCS7013.

MCS7033

3

Total Credits:

9

» Document Viewer

Use Your Cell Phone as a Document Camera in Zoom

  • What you will need to have and do
  • Download the mobile Zoom app (either App Store or Google Play)
  • Have your phone plugged in
  • Set up video stand phone holder

From Computer

Log in and start your Zoom session with participants

From Phone

  • Start the Zoom session on your phone app (suggest setting your phone to “Do not disturb” since your phone screen will be seen in Zoom)
  • Type in the Meeting ID and Join
  • Do not use phone audio option to avoid feedback
  • Select “share content” and “screen” to share your cell phone’s screen in your Zoom session
  • Select “start broadcast” from Zoom app. The home screen of your cell phone is now being shared with your participants.

To use your cell phone as a makeshift document camera

  • Open (swipe to switch apps) and select the camera app on your phone
  • Start in photo mode and aim the camera at whatever materials you would like to share
  • This is where you will have to position what you want to share to get the best view – but you will see ‘how you are doing’ in the main Zoom session.