Add learning outcomes and credit info.

website/docs/format.md

@@ -1,5 +1,5 @@
 Lectures will be loosely organized around **four modules**: differential
-privacy, cryptography, language-based security, and adversarial machine
+privacy, applied cryptography, language-based security, and adversarial machine
 learning. I will give most of the lectures for the first module (differential
 privacy). For the other modules, I will give an introductory lecture surveying
 the topic and background material. Then, each student will lead one lecture,
@@ -50,6 +50,28 @@ Grades will be assigned as follows:
 - **Paper presentation: 25%**
 - **Final project: 60%** (First and second milestones, and final writeup)
 
+## Learning Outcomes
+
+By the end of this course, you should be able to...
+
+- Summarize the basic concepts in each of the four course modules: differential
+  privacy, applied cryptography, language-based security, and adversarial
+  machine learning.
+- Use standard techniques from differential privacy to design privacy-preserving
+  data analyses.
+- Grasp the high-level concepts from research literature on the main course
+  topics.
+- Present and lead a discussion on recent research results.
+- Carry out an in-depth exploration of one topic in the form of a self-directed
+  research project.
+
+## Credit Information
+
+This is a **3-credit** graduate seminar. We will meet for two 75-minute class
+periods each week over the fall semester, and you should expect to work on
+course learning activities for about 3 hours out of classroom for every class
+period.
+
 ## Academic Integrity
 
 The final project may be done individually or in groups of two students.