| (a) Implementation. The provisions of this section
shall be implemented by school districts beginning with the 2024-2025
school year.
(1) No later than August 1, 2024, the commissioner
of education shall determine whether instructional materials funding
has been made available to Texas public schools for materials that
cover the essential knowledge and skills identified in this section.
(2) If the commissioner makes the determination that
instructional materials funding has been made available this section
shall be implemented beginning with the 2024-2025 school year and
apply to the 2024-2025 and subsequent school years.
(3) If the commissioner does not make the determination
that instructional materials funding has been made available under
subsection (a) of this section, the commissioner shall determine no
later than August 1 of each subsequent school year whether instructional
materials funding has been made available. If the commissioner determines
that instructional materials funding has been made available, the
commissioner shall notify the State Board of Education and school
districts that this section shall be implemented for the following
school year.
(b) General requirements. This course is recommended
for students in Grades 10-12. Prerequisites: Algebra I and Computer
Science I or AP Computer Science Principles. Students shall be awarded
one credit for successful completion of this course.
(c) Introduction.
(1) Career and technical education instruction provides
content aligned with challenging academic standards, industry-relevant
technical knowledge, and college and career readiness skills for students
to further their education and succeed in current and emerging professions.
(2) The Science, Technology, Engineering, and Mathematics
(STEM) Career Cluster focuses on planning, managing, and providing
scientific research and professional and technical services such as
laboratory and testing services and research and development services.
(3) Computer Science II will foster students' creativity
and innovation by presenting opportunities to design, implement, and
present meaningful programs through a variety of media. Students will
collaborate with one another, their instructor, and various electronic
communities to solve the problems presented throughout the course.
Through computational thinking and data analysis, students will identify
task requirements, plan search strategies, and use computer science
concepts to access, analyze, and evaluate information needed to solve
problems. By using computer science knowledge and skills that support
the work of individuals and groups in solving problems, students will
select the technology appropriate for the task, synthesize knowledge,
create solutions, and evaluate the results. Students will gain an
understanding of computer science through the study of technology
operations, systems, and concepts.
(4) Students are encouraged to participate in extended
learning experiences such as career and technical student organizations
and other leadership or extracurricular organizations.
(5) Statements that contain the word "including" reference
content that must be mastered, while those containing the phrase "such
as" are intended as possible illustrative examples.
(d) Knowledge and skills.
(1) Employability. The student identifies various employment
opportunities in the computer science field. The student is expected
to:
(A) identify job and internship opportunities and accompanying
job duties and tasks and contact one or more companies or organizations
to explore career opportunities;
(B) examine the role of certifications, resumes, and
portfolios in the computer science profession;
(C) employ effective technical reading and writing
skills;
(D) employ effective verbal and non-verbal communication
skills;
(E) solve problems and think critically;
(F) demonstrate leadership skills and function effectively
as a team member;
(G) identify legal and ethical responsibilities in
relation to the field of computer science;
(H) demonstrate planning and time-management skills;
and
(I) compare university computer science programs.
(2) Creativity and innovation. The student develops
products and generates new understandings by extending existing knowledge.
The student is expected to:
(A) use program design problem-solving strategies to
create program solutions;
(B) read, analyze, and modify programs and their accompanying
documentation such as an application programming interface (API),
internal code comments, external documentation, or readme files;
(C) follow a systematic problem-solving process that
identifies the purpose and goals, the data types and objects needed,
and the subtasks to be performed;
(D) compare design methodologies and implementation
techniques such as top-down, bottom-up, and black box;
(E) trace a program, including inheritance and black
box programming;
(F) choose, identify, and use the appropriate abstract
data type, advanced data structure, and supporting algorithms to properly
represent the data in a program problem solution; and
(G) use object-oriented programming development methodology,
including data abstraction, encapsulation with information hiding,
inheritance, and procedural abstraction in program development.
(3) Communication and collaboration. The student communicates
and collaborates with peers to contribute to his or her own learning
and the learning of others. The student is expected to:
(A) use the principles of software development to work
in software design teams;
(B) break a problem statement into specific solution
requirements;
(C) create a program development plan;
(D) code part of a solution from a program development
plan while a partner codes the remaining part;
(E) collaborate with a team to test a solution, including
boundary and standard cases; and
(F) develop presentations to report the solution findings.
(4) Data literacy and management. The student locates,
analyzes, processes, and organizes data. The student is expected to:
(A) use programming file structure and file access
for required resources;
(B) acquire and process information from text files,
including files of known and unknown sizes;
(C) manipulate data using string processing;
(D) manipulate data values by casting between data
types;
(E) use the structured data type of one-dimensional
arrays to traverse, search, modify, insert, and delete data;
(F) identify and use the structured data type of two-dimensional
arrays to traverse, search, modify, insert, and delete data;
(G) identify and use a list object data structure to
traverse, search, insert, and delete data; and
(H) differentiate between categories of programming
languages, including machine, assembly, high-level compiled, high-level
interpreted, and scripted.
(5) Critical thinking, problem solving, and decision
making. The student uses appropriate strategies to analyze problems
and design algorithms. The student is expected to:
(A) develop sequential algorithms using branching control
statements, including nested structures, to create solutions to decision-making
problems;
(B) develop choice algorithms using selection control
statements based on ordinal values;
(C) demonstrate the appropriate use of short-circuit
evaluation in certain situations;
(D) use Boolean algebra, including De Morgan's Law,
to evaluate and simplify logical expressions;
(E) develop iterative algorithms using nested loops;
(F) identify, trace, and appropriately use recursion
in programming solutions, including algebraic computations;
(G) trace, construct, evaluate, and compare search
algorithms, including linear searching and binary searching;
(H) identify, describe, trace, evaluate, and compare
standard sorting algorithms, including selection sort, bubble sort,
insertion sort, and merge sort;
(I) measure time and space efficiency of various sorting
algorithms, including analyzing algorithms using "big-O" notation
for best, average, and worst-case data patterns;
(J) develop algorithms to solve various problems such
as factoring, summing a series, finding the roots of a quadratic equation,
and generating Fibonacci numbers;
(K) test program solutions by investigating boundary
conditions; testing classes, methods, and libraries in isolation;
and performing stepwise refinement;
(L) identify and debug compile, syntax, runtime, and
logic errors;
(M) compare efficiency of search and sort algorithms
by using informal runtime comparisons, exact calculation of statement
execution counts, and theoretical efficiency values using "big-O"
notation, including worst-case, best-case, and average-case time/space
analysis;
(N) count, convert, and perform mathematical operations
in the decimal, binary, octal, and hexadecimal number systems;
(O) identify maximum integer boundary, minimum integer
boundary, imprecision of real number representations, and round-off
errors;
(P) create program solutions to problems using a mathematics
library;
(Q) use random number generator algorithms to create
simulations;
(R) use composition and inheritance relationships to
identify and create class definitions and relationships;
(S) explain and use object relationships between defined
classes, abstract classes, and interfaces;
(T) create object-oriented class definitions and declarations
using variables, constants, methods, parameters, and interface implementations;
(U) create adaptive behaviors using polymorphism;
(V) use reference variables for object and string data
types;
(W) use value and reference parameters appropriately
in method definitions and method calls;
(X) implement access scope modifiers;
(Y) use object comparison for content quality;
(Z) duplicate objects using the appropriate deep or
shallow copy;
(AA) apply functional decomposition to a program solution;
(BB) create objects from class definitions through
instantiation; and
(CC) examine and mutate the properties of an object
using accessors and modifiers.
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