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BUSI 2550U Introduction to Project Management
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Introduction
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Classes
Classes
Program Map
Electives
Electives
INFR 4641U Advanced Network Security
Year1
Year1
Fall
Fall
BUSI 1030U Business Communications
BUSI 1600U Management of the Enterprise
INFR 1010U Discrete Mathematics
INFR 1101U Introduction to Programming for IT
INFR 1411U Introduction to Networking I
Winter
Winter
BUSI 2000U Collaborative Leadership
INFR 1016U Introductory Calculus
INFR 1421U Introduction to Networking II
INFR 2141U Object Oriented Programming for IT
INFR 2810U Computer Architecture
Year2
Year2
Fall
Fall
INFR 1400U Statistics and Probability for IT
INFR 1550U Law and Ethics of IT
INFR 2411U Advanced Networking I
INFR 2600U Introduction to Computer Security
INFR 3120U Web and Script Programming
Winter
Winter
INFR 2421U Advanced Networking II
INFR 2820U Algorithms and Data Structures
INFR 2830U Operating Systems
Year3
Year3
Fall
Fall
BUSI 2550U Introduction to Project Management
INFR 2431U Advanced Networking III
INFR 2670U Introduction to Cloud Services
INFR 3600U Cryptography and Network Security
INFR 3700U Machine Learning
Winter
Winter
INFR 3610U Operating System Security
INFR 3720U Basics of Digital Transmission
INFR 3810U Database Systems
INFR 3850U System and Network Administration
Year4
Year4
Fall
Fall
INFR 4661U Introduction to Penetration Testing
INFR 4680U IT Security Policies and Procedures
Winter
Winter
INFR 4690U IT Forensics
YearX
YearX
General Elective
Open Elective
Technical Elective
XBIT 4500U Capstone
XBIT 4600U Internship
Miscellaneous
Miscellaneous
Brief History of Malware
Domain Tools
Educational Platforms
Hacker Methodology
Hashes and Passwords
OSINT
OT Resources
Red Team
Research Resources
Resources
Steganography Crash Course
Notes
Notes
Big O Explained
Introduction to APIs
Statistics
Statistics
1.2 Data basics
2.1 Examining numerical data
3.1 Defining probability
3.2 Conditional probability
3.3 Sampling from a small population
3.4 Random variables
3.5 Permutations and Combinations
4.1 Normal distribution
4.2 Geometric distribution
4.3 Binomial distribution
4.4 Negative binomial distribution
4.5 Poisson distribution
Point estimates and error
5.2 Confidence intervals for a proportion
5.3 Hypothesis testing for a proportion
6.1 Inference for a single proportion
6.2 Difference of two proportions
6.3 Testing for goodness of fit using chi square method
Difference between one-way and two-way tables
7.1 One sample means with the t distribution
Paired Data
7.3 Difference of two means
7.4 Power calculations for a difference of means
7.5 Comparing many means with ANOVA
Fitting a line to data
An objective measure for finding the best line
BUSI 2550U Introduction to Project Management
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Prerequisites:
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