CSEC2300

CRYPTOGRAPHY

This course is offered in a current or upcoming term. Check the official course schedule before registering.
Department
Cybersecurity
Terms offered
1
Data refreshed
Jun 27, 2026

Description

This course provides a comprehensive introduction to applied cryptography and data security. This course is ideal for engineering, cybersecurity, and computer science students. Students will learn the main techniques in modern cryptography, including stream ciphers, the Data Encryption Standard (DES) and 3DES, the Advanced Encryption Standard (AES), block ciphers, the RSA cryptosystem, public-key cryptosystems based on the discrete logarithm problem, elliptic-curve cryptography (ECC), digital signatures, hash functions, Message Authentication Codes (MACs), and methods for key establishment, including certificates and public-key infrastructure (PKI).

Syllabi

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Offering history & forecast 2026

2026

Sections offered by academic year and season, with estimated offering chances for future years above the divider
YearFallSpringSummerIntersession
2030 2030 Fall: not enough history to forecast. 2030 Spring: not enough history to forecast. 2030 Summer: not enough history to forecast. 2030 Intersession: not enough history to forecast.
2029 2029 Fall: not enough history to forecast. 2029 Spring: not enough history to forecast. 2029 Summer: not enough history to forecast. 2029 Intersession: not enough history to forecast.
2028 2028 Fall: not enough history to forecast. 2028 Spring: not enough history to forecast. 2028 Summer: not enough history to forecast. 2028 Intersession: not enough history to forecast.
2027 2027 Fall: not enough history to forecast. 2027 Spring: not enough history to forecast. 2027 Summer: not enough history to forecast. 2027 Intersession: not enough history to forecast.
2026 1 section Not offered Not offered No data for this term
Forecast Under 15% 15–39% 40–69% 70–89% 90%+ Not enough history
Fall Spring Summer Intersession Darker means more sections Not offered No data for term

Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.

Meeting times

Most recent first
  • Thu, 6:30 PM–9:30 PM Sackler Science Center S321 2026
Credit-bearing sections of CSEC2300
TermProfessorTypeCreditsEnrollmentCRN
Fall 2026Dean J. Cascione (He/Him)Lecture1 1 of 30 enrolled24651