Syllabus

Note: the schedule towards the end of the semester is tentative and will change as needed.

Week 1

1/09:

Lecture 1: Data Definitions in Java Designing Data: Simple classes, classes with containment Lecture 2: Data Definitions: Unions Designing unions of classes; self-reference

1/11:

Lecture 3: Methods for simple classes Methods for simple classes and classes with containment Lecture 4: Methods for unions Methods for unions of classes and classes with self-reference

1/12:

Lecture 4: Methods for unions Methods for unions of classes and classes with self-reference Lecture 5: Methods for self-referential lists Designing methods for complex class hierarchies

1/13:

Lab 1 Data definitions in Java; Eclipse IDE; Handins homework server; simple methods

Week 2

1/16:

No class: MLK Day

1/18:

Lecture 6: Accumulator methods More complicated methods for self-referential data

1/19:

Lecture 7: Accumulator methods, continued (continued) Methods with accumulators

1/20:

Lab 2 Designing methods in Java: classes, containment, unions, self-reference

Week 3

1/23:

Lecture 8: Practice Design Recap: designing methods and wish lists for a larger problem

1/25:

Lecture 9: Abstract classes and inheritance Abstract classes and inheritance

1/26:

Lecture 10: Customizing constructors for correctness and convenience Customizing constructors for correctness and convenience

1/27:

Lab 3 Practice white-box and black-box testing

Week 4

1/30:

Lecture 11: Defining sameness for complex data, part 1 Sameness of data values Lecture 12: Defining sameness for complex data, part 2 More of the same

2/01:

Lecture 13: Abstracting over behavior Overview of world programming; Function objects Lecture 14: Abstractions over more than one argument More function objects

2/02:

Lecture 15: Abstracting over types Generics

2/03:

Lab 4 Designing sameness methods; functional world games

Week 5

2/06:

Lecture 16: Visitors Visitors

2/08:

Homework review, practice with generics

2/09:

Exam review, additional practice with generics

2/10:

Lab 5 Equality, functional world games

Week 6

2/13:

Lecture 17: Mutation Creating cyclic data, mutation

2/15:

Lecture 18: Mutation inside structures Testing mutation methods, indirect cycles

2/16:

Lecture 19: Mutation, aliasing and testing Aliasing and equality, revisited

2/17:

Lab 6 Working with function objects, introduction to generics

Week 7

2/20:

No class: Presidents’ Day

2/22:

Lecture 20: Mutable data structures Removing items from lists, mutable lists Lecture 21: ArrayLists Direct-access data structures: ArrayList; swapping two items, mapping over ArrayLists, for-each loops Midterm 1: 6:00--9:00PM Shillman 305

2/23:

Lecture 22: ArrayLists ArrayLists and binary search; for-each loops; working with indices Lecture 23: For-each loops and Counted-for loops For-each loops and counted-for loops

2/24:

Lab 7

Week 8

2/27:

Lecture 24: While loops While-loops

3/01:

Lecture 25: Iterator and Iterable Iterators and Iterables

3/02:

Lecture 26: Hashing and Equality HashMap, equals

3/03:

Lab 8 Loyd's 15 puzzle: working with ArrayLists, loops and imperative worlds

Week 9

3/06:

No class: Spring break

3/08:

No class: Spring break

3/09:

No class: Spring break

3/10:

No lab this week

Week 10

3/13:

Lecture 27: Introduction to Big-O Analysis Big Oh: searching and sorting; insertion sort and selection sort

3/15:

Lecture 28: Quicksort and Mergesort Big Oh: searching and sorting; quicksort and merge sort

3/16:

Lecture 29: Priority Queues and Heapsort Big Oh: searching and sorting; HeapSort -- Priority Queue

3/17:

Lab 9 Tries

Week 11

3/20:

Lecture 30: Breadth-first search and Depth-first search on graphs Graph algorithms: breadth-first search, depth-first search

3/22:

Lecture 31: Dijkstra’s Algorithm for single-source shortest paths Graph algorithms: Dijkstra's algorithm, and comparison with BFS/DFS

3/23:

Lecture 32: Minimum Spanning Trees Minimum spanning trees: Prim's and Kruskal's algorithms

3/24:

Lab 10 Heapsort, stress tests

Week 12

3/27:

Lecture 33 Design choices in object-oriented languages: JavaScript

3/29:

Lecture 34: Implementing Objects Implementing Objects

3/30:

Lecture 35: Dynamic Programming Dynamic programming: Solving recursive problems faster

3/31:

Lab 11 Wider trees and advanced iterators

Week 13

4/03:

Lecture 36 Wrap-up

4/05:

Lecture 37 Slack

4/06:

Lecture 38 Slack

4/07:

Lab 12 Python

Week 14

4/10:

Design: thinking playfully and creatively about algorithms

4/12:

Scope in Java: access modifiers and packages

4/13:

Scope in Python

4/14:

Lab 13 Streams

4/11:

Midterm 2: 6:00--9:00PM Cargill 097

Week 15

4/17:

No class: Patriots’ Day