Algorithms & Programming Fundamentals

Problems that are highly sequential where splitting into procedures could disrupt flow unnecessarily.

Problems demanding real-time execution speed where procedural calls might introduce unwanted overhead.

Problems so simple that breaking them down further complicates understanding rather than enhancing it.

Problems containing repetitive tasks across different parts of code benefiting from modularity.

Performing integration testing to ensure that different modules interact correctly.

Executing system tests that validate the software in its entirety against requirements.

Implementing unit tests for individual procedures and modules.

Conducting stress tests to evaluate performance under high load conditions.

Arguments

Parameters

Expressions

Return values

They may not perform well under varying weather conditions impacting visibility.

They must be programmed with priorities in unavoidable accident scenarios.

Self-driving systems could eliminate human error while driving altogether.

Autonomous vehicles could potentially reduce traffic congestion problems on roads.

Assign it to a variable or use it in expressions

Call another procedure with it

Print it to the console

Define input variables for another procedure

Declarative parallelism offered by functional languages can handle concurrency well without side effects complicating thread safety.

The imperative style's reliance on sequential steps could hinder optimal use of multi-core capabilities due to potential race conditions.

Logic-programming’s backtracking mechanisms may introduce unnecessary complexity into parallel processing contexts.

Object-oriented encapsulation controls access but doesn't inherently provide concurrency optimizations.

Increased demand for handmade artisan goods.

Decreased efficiency in task completion times.

Job displacement due to automation in industries.

Greater need for face-to-face customer service.

This might reduce the personal touch in healthcare, as patients would be interacting more with machines than humans.

It could enhance accurate diagnoses where there are shortages of medical professionals, while raising concerns about data privacy and reliance on technology.

The use of such a system is likely to pose significant challenges due to the energy requirements and infrastructure needed for AI.

It may increase the workload of existing staff due to difficulties in integrating new technologies into old systems.

Improved security measures against unauthorized access to data.

Violation of user privacy and potential misuse of personal information.

Reduction in computational resources required to run applications.

The creation of more accurate and helpful personalized services.

Additional procedures to support the original call to action.

A new name to distinguish it from other calls to the same procedure.

Arguments that match the number and type of its parameters.

Modifications to the procedure’s underlying algorithm for customization.