X hits on this document

285 views

0 shares

0 downloads

0 comments

77 / 132

FACULTY OF HUMANITIES & EDUCATION HANDBOOK 2010–2011

REQUIREMENTS FOR A MINOR IN INFORMATION TECHNOLOGY

A Minor in Information Technology requires 16 credits from Level II and Level III courses, of which at least eight (8) credits must be from the required courses.

Preliminary

  • 1.

    MATH0101 Preliminary Mathematics I (6 credits)

  • 2.

    MATH0102 Preliminary Mathematics II (6 credits)

REQUIREMENTS FOR A MINOR IN MATHEMATICS

A Minor in Mathematics requires 16 credits from Level II and Level III courses, of which at least eight (8) credits must be from the required courses.

Preliminary

  • 1.

    MATH0101 Preliminary Mathematics I (6 credits)

  • 2.

    MATH0102 Preliminary Mathematics II (6 credits)

Level I

  • 3.

    MATH1100 Basic Mathematics

  • 4.

    COMP1105 Computer Programming I

  • 5.

    COMP1115 Computer Programming II

Level I

3. 4. 5 .

MATH1100 Basic Mathematics MATH1120 Calculus I MATH1130 Calculus II

Any two (2) COMP2105 COMP2115 COMP2145 COMP2160 COMP3160 COMP3170

courses form the following: Discrete Mathematics Information Structures Software Engineering I Object Oriented Programming Database Management Systems Web-Eased Applications

Any two (2) COMP2125 COMP2135 COMP2150 COMP3100 COMP3180 COMP3115 COMP3125 COMP3135 COMP3140 COMP3155 COMP3180 COMP3210

courses form the following: Computer Architecture Systems Software Computer Networks I Operating Systems Algorithm Design & Analysis Information Systems Artificial Intelligence Programming Languages Software Engineering II Computer Networks II Algorithm Design and Analysis Electronic Commerce

Level II /III

6-7.

8-9

Level II/III

6. 7.

MATH2100 MATH2120

8-9

.

Any two (2)

MATH2110 MATH2130 MATH2140 MATH2150 MATH3100 MATH3110 MATH3120 MATH3130 MATH3140 MATH3150 MATH3160 MATH3170 MATH3180 MATH3190 MATH3200 MATH3210 MATH3220 MATH3230

Abstract Algebra Analysis and Methods I

courses form the following: Linear Algebra Ordinary Differential Equations Introduction to probability Mathematical Statistics Multivariate Analysis Design of Experiments Numerical Analysis Optimization Theory Fourier Analysis and PDE Complex Variables I Number Theory Advanced Algebra Introduction to Topology Matrix Analysis Lambda Calculus Mathematical Logic Sampling Theory Lebesgue Measure

75

Document info
Document views285
Page views285
Page last viewedSun Dec 04 08:47:38 UTC 2016
Pages132
Paragraphs3398
Words50322

Comments