BZAN 8165 AI-based iOS Development for All

Always wanted to build an iPhone app? Curious how anyone can use AI to build software products? Well here's your chance to do both! This course combines learning app development and programming fundamentals while using agentic AI to extend learning and rapidly create robust iOS apps. By the end of the course you will have created multli-user apps that can share data and images stored in the cloud. You'll learn to use AI to extend fundamentals, implement solid software design and development principles, conform to accessibility standards, and to help you learn new techniques, all as we progress building a series of apps. The course is " flipped", so students learn at their own pace by following code-along weekly videos. Our required weekly class meetings feature hands-on challenges to make sure everyone is able to use lesson concepts. Past students have called this one of the most rewardingif at times challengingcourses theyve taken. The additional of AI now makes the class more accessible and lets us accomplish lots more in less time.

Course overview

Department
Business Analytics
School
CSOM
Credits
3
Level
Graduate
Offered
Every Fall, Every Spring

Course evaluations

Response-weighted averages from Boston College’s official course evaluations (Avalanche/Blue).

Course rating
4.33 / 5 · Very Good
3 responses
Instructor rating
4.00 / 5 · Very Good
3 responses
Terms evaluated
2
Most recent: Fall 2025

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree); weekly effort from 1 (up to 1 hour) to 5 (10 or more hours).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryWeekly effortResponses
Fall 2025John Gallaugher3.03.05.05.05.04.04.04.07–9 hrs/week1 of 2
Spring 2025John Gallaugher5.04.54.55.05.05.05.04.510+ hrs/week2 of 3

Data freshness

Course and evaluation data last updated 2026-10-09. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • John Gallaugher
    Spring 2027, Fall 2026, Spring 2026, Fall 2025, Spring 2025 · Official rating 4.00/5

Sections

  • Section 01
    Spring 2027 · John Gallaugher · Fulton Hall 235 M 04:30PM-06:50PM · Offered
  • Section 01
    Fall 2026 · John Gallaugher · Fulton Hall 415 M 04:30PM-06:50PM · Offered