This Schedule is tentative and subject to change

Lecture 1 (1/8): Introductions, course overview.  Discussion - Concepts and terminology.  Lecture - Introduction to Digital Evolution Research (CA)

Lecture 2 (1/10): Lecture -   Genetic Programming  and Digital Evolution Research  (WB)

MLK Day (1/15): [No Class]

Lecture 3 (1/17):  Finding and Refining a Research Topic   Open Research problems in Evolutionary Biology/Overview of Suggested Research Topics (I) (CA)

Lecture 4 (1/22): Open Research problems in Evolutionary Computation/Overview of Suggested Research Topics (II) (WB)

Lecture 5 (1/24): Lecture/Discussion on Project Topic (CA&WB)

Lecture 6 (1/29): Lecture/Discussion on Project Topic (CA&WB)

Lecture 7 (1/31): Student Presentations - 5 to 7 minute (two slides) student research project proposal pitches. Due - Proposal write-ups.

(Students will have 24 hours to rate proposals to indicate which ones they are interested in working on). 

Lecture 8 (2/5): Lecture/Discussion on Project Topic (CA&WB)

Lecture 9 (2/7): In-class Team Project Planning and Discussions. Outcome: Each team has a timetable for the project. (CA&WB)

Lecture/Lab - Introduction to the MABE (Modular Agent-Based Evolution) Framework (Cliff)

Reproducing Research. Lab: Using MABE for simulation  (Cliff)

Lecture 10 (2/12):  Discussing a Research Paper: Defend Pros or Defend Cons (Assign two papers) 

Lecture 11 (2/14): In class Work on Projects   

Lecture 12 (2/19): Evolutionary Game Theory (I) (CA) 

Lecture 13 (2/21): Student Presentations: Progress Updates on Replication Results (Update I)

Spring Break (2/26): [No Class]  

Spring Break (2/28): [No Class]

Lecture 14 (3/4):  Evolutionary Game Theory (II) (CA)  

Lecture 15 (3/6):  In class Work on Projects  

Lecture 16 (3/11):  Lecture - From Artificial to Computational Evolution (WB) 

Lecture 17 (3/13):  Student Presentations: Progress Updates (discussion of narrative structure, graphs, and new literature review) (Update 2)

Lecture 18 (3/18):  Lecture - Introduction to Statistics I: The idea of Estimation, variability and uncertainty (CA)

Lecture 19 (3/20):  Lecture - Introduction to Statistics II (CA)

Lecture 20 (3/25):  Lecture - Introduction to Statistics III (CA)

Lecture 21 (3/27):  Lecture -  Information Theory: Entropy, conditional entropy, information (Cliff)    

Lecture 22 (4/1):  Student Presentations: Progress Update (Preliminary results) Update 3

Lecture 23 (4/3):  Lecture - Introduction to Statistics IV (CA)

Lecture 24 (4/8):  No Class - Solar Eclipse

Lecture 25 (4/10): How To Read and Write a Scientific Paper (CA)  

Lecture - Information transmission, communication in animals & plants (CA)

Lecture 26 (4/15):  Student Presentations: Progress Update (Resolving any last-minute problems with projects) Update 4  

Lecture 27 (4/17):  Lecture/Discussion: How to give a scientific presentation  (CA)  

Lecture - Evolutionary Dynamics and Emergent Phenomena in GP (WB)

Lecture 28 (4/22):  Student Presentations 1 - Final Projects

Lecture 29 (4/24):  Student Presentations 2 - Final Projects 

Discussion - Course improvements for next year (CA & WB)

Final project papers due 11:59pm  Friday, April 26th (stroke of midnight)