1.- ES UN EJEMPLOS PARA SACAR LAS ÁREAS DE ALGUNAS FIGURAS BÁSICAS :
Algoritmo OPERACIONES_BASICAS
Algoritmo OPERACIONES_BASICAS
Definir R,N Como Entero
Leer N
Menu(N)
FinAlgoritmo
SubProceso area_del_rectangulo(N)
A=0
Escribir 'digite un numero'
Leer B
Escribir 'diguite otro numero'
Leer H
A<-B*H
Escribir'El area es:',A
Esperar Tecla
FinSubProceso
SubProceso area_del_cuadrado(N)
A=0
Escribir 'ingrese la medida del lado'
leer L
A<-L*L
Escribir 'El area es:',A
Esperar Tecla
FinSubProceso
SubProceso area_del_circulo(N)
A=0
Escribir ' Diguite un numero'
leer r
ra<-r*r
A<-ra*3.1416
Escribir 'El area es:',A
Esperar Tecla
FinSubProceso
SubProceso area_del_trapecio(N)
A=0
Escribir'Diguite un numero'
leer B
Escribir'Digite otro numero'
leer b
Escribir'Digite otro numero'
leer h
A=(B+b)/2*h
Escribir 'El area es:',A
Esperar Tecla
FinSubProceso
SubProceso Menu(N)
Escribir 'Menú operaciones Basicas'
Repetir
Limpiar Pantalla
Escribir 'Menú operaciones Basicas'
Escribir '________________________'
Escribir '1.area_del_rectangulo'
Escribir '2.area_del_cuadrado'
Escribir '3.area_del_circulo'
Escribir '4.area_del_trapecio'
Escribir '5.fin'
Escribir 'Elija una opcción'
leer opc
Segun opc Hacer
1:area_del_rectangulo(N)
2:area_del_cuadrado(N)
3:area_del_circulo(N)
4:area_del_trapecio(N)
De Otro Modo:
Escribir 'Fin'
FinSegun
Escribir "Presione enter para continuar"
Esperar Tecla
Hasta Que opc=5
FinSubProceso
2.-ES PARA REALIZAR ALGUNAS OPERACIONES BÁSICAS:
SubProceso factorial(N)
R<-R*I
Para I<-1 Hasta N Con Paso 1 Hacer
R<-N*I
Fin Para
Escribir'el factoreal es:',R
Esperar Tecla
FinSubProceso
SubProceso raiz_cuadrada(N)
R<-raiz(N)
Escribir 'la raiz es:',R
Esperar Tecla
FinSubProceso
SubProceso Multiplos_menores_ascendentes(N)
R<-N
Para I<-1 Hasta 50 Con Paso 1 Hacer
R<-N*I
Escribir 'Los mltiplos en forma ascententes son:',R
Esperar Tecla
Fin Para
FinSubProceso
SubProceso Multiplos_menores_descendentes(N)
R<-N
Para I<-1 Hasta 50 Con Paso 1 Hacer
R=N*I
Escribir 'Los mltiplos en forma ascententes son:',R
Esperar Tecla
Fin Para
Esperar Tecla
FinSubProceso
SubProceso numeros_divicibles(N)
Si (num%3) = 0 Entonces
Escribir "El numero SI es divisible por tres",R
Sino
Escribir "El numero NO es divisible por tres",R
FinSi
FinSubProceso
SubProceso transformar_a_texto(N)
R<-N
N<-TEXTO
Escribir 'el numero transformado a palabras es:',TEXTO
Esperar Tecla
FinSubProceso
SubProceso Menu(N)
Escribir 'Menú operaciones Basicas'
Repetir
Limpiar Pantalla
Escribir 'Menú operaciones Basicas'
Escribir '________________________'
Escribir '1.factorial'
Escribir '2.raiz_cuadrada'
Escribir '3.multiplos_menores_ascendentes'
Escribir '4.multiplos_menores_descendentes'
Escribir '5.numeros_divisibles'
Escribir '6.transformar_a_texto'
Escribir '7.fin'
Escribir 'Elija una opcción'
leer opc
Segun opc Hacer
1:factorial(N)
2:raiz_cuadrada(N)
3:multiplos_menores_ascendentes(N)
4:multiplos_menores_descendentes(N)
5:numeros_divicibles(N)
6:transformar_a_texto(N)
Escribir 'Fin'
FinSegun
Escribir "Presione enter para continuar"
Esperar Tecla
Hasta Que opc=7
FinSubProceso
Algoritmo OPERACIONES_BASICAS
Definir R,N Como Entero
Leer N
Menu(N)
FinAlgoritmo
R<-R*I
Para I<-1 Hasta N Con Paso 1 Hacer
R<-N*I
Fin Para
Escribir'el factoreal es:',R
Esperar Tecla
FinSubProceso
SubProceso raiz_cuadrada(N)
R<-raiz(N)
Escribir 'la raiz es:',R
Esperar Tecla
FinSubProceso
SubProceso Multiplos_menores_ascendentes(N)
R<-N
Para I<-1 Hasta 50 Con Paso 1 Hacer
R<-N*I
Escribir 'Los mltiplos en forma ascententes son:',R
Esperar Tecla
Fin Para
FinSubProceso
SubProceso Multiplos_menores_descendentes(N)
R<-N
Para I<-1 Hasta 50 Con Paso 1 Hacer
R=N*I
Escribir 'Los mltiplos en forma ascententes son:',R
Esperar Tecla
Fin Para
Esperar Tecla
FinSubProceso
SubProceso numeros_divicibles(N)
Si (num%3) = 0 Entonces
Escribir "El numero SI es divisible por tres",R
Sino
Escribir "El numero NO es divisible por tres",R
FinSi
FinSubProceso
SubProceso transformar_a_texto(N)
R<-N
N<-TEXTO
Escribir 'el numero transformado a palabras es:',TEXTO
Esperar Tecla
FinSubProceso
SubProceso Menu(N)
Escribir 'Menú operaciones Basicas'
Repetir
Limpiar Pantalla
Escribir 'Menú operaciones Basicas'
Escribir '________________________'
Escribir '1.factorial'
Escribir '2.raiz_cuadrada'
Escribir '3.multiplos_menores_ascendentes'
Escribir '4.multiplos_menores_descendentes'
Escribir '5.numeros_divisibles'
Escribir '6.transformar_a_texto'
Escribir '7.fin'
Escribir 'Elija una opcción'
leer opc
Segun opc Hacer
1:factorial(N)
2:raiz_cuadrada(N)
3:multiplos_menores_ascendentes(N)
4:multiplos_menores_descendentes(N)
5:numeros_divicibles(N)
6:transformar_a_texto(N)
Escribir 'Fin'
FinSegun
Escribir "Presione enter para continuar"
Esperar Tecla
Hasta Que opc=7
FinSubProceso
Algoritmo OPERACIONES_BASICAS
Definir R,N Como Entero
Leer N
Menu(N)
FinAlgoritmo
3.-ES PARA SABER SI ES MAYOR DE EDAD
Funcion Promedio(ed,N)
ed<-0
auxed<-0
Escribir 'ingresa la cantidad de personas'
leer n
Para I<-1 Hasta N Con Paso 1 Hacer
Escribir 'ingresa tu edad'
Leer ed
auxed <- auxed+ed
Fin Para
prom<-(auxed)/n
escribir 'el promedio de edad es:',prom
Esperar Tecla
FinFuncion
Funcion Edad_mayor(ed,N)
Escribir 'ESTE PROCESO ES PARA SABER SI ES MAYOR DE EDAD'
Escribir 'ingrese el año de nacimiento'
Leer A
Escribir 'diguite el año actual'
Leer a
ed<-A-a
Si ed>16 Entonces
EscribiR 'ES MAYOR DE EDAD'
Sino
Escribir 'ES MENOR DE EDAD'
Fin Si
Esperar Tecla
FinFuncion
Funcion Edad_menor(ed,N)
Escribir 'ESTE PROCESO ES PARA SABER SI ES MENOR DE EDAD'
Escribir 'ingrese el año de nacimiento'
Leer A
Escribir 'diguite el año actual'
Leer a
ed<-A-a
Si ed<-16 Entonces
EscribiR 'ES MENOR DE EDAD'
Sino
Escribir 'ES MAYOR DE EDAD'
Fin Si
Esperar Tecla
FinFuncion
SubProceso Menu(ed)
Definir opc Como Entero
Repetir
Limpiar Pantalla
Escribir 'opciones que puede seleccionar'
Escribir '1.edad promedio'
Escribir '2.edad mas alta'
Escribir '3.edad mas baja'
Escribir '4.fin'
Escribir 'elija una opcion'
Leer opc
Segun opc hacer
1:Promedio(ed,N)
2:Edad_mayor(ed,N)
3:Edad_menor(ed,N)
De Otro Modo:
Escribir 'error'
FinSegun
Hasta Que opc = 4
Esperar Tecla
FinSubProceso
Algoritmo OPERACIONES_BASICAS
Definir ed,N Como Entero
Para I<-1 Hasta N Con Paso 1 Hacer
Escribir 'INGRESE LA CANTIDAD DE PERSONAS'
Leer N
Escribir 'INGRESA TU EDAD'
leer ed
Fin Para
Menu(N)
FinAlgoritmo
Ejercisios con la descripcion mientras
4._Programa para calcular el promedio general del grupo en una asignatura
Algoritmo Promedio_notas
Definir as,nom como entero
Definir c Como Entero
Definir q1,q2,prom,sp,pg como real
c=0
prom=0
sp=0
leer as
Leer nom
Mientras nom < > entonces
Leer q1
Leer q2
c=c+1
prom=(q1+q2)
sp=sp+prom
Leer nom
Fin Mientras
pg=sp/c
Escribir "el proceso general de "s" estudiantes as es":pg
FinAlgoritmo
5._Programa con los datos del ejercisoio anterior el cual genera con las normas de los estudiantes que aprobaron y reprobaron
Algoritmo Promedio_notas
Definir as,nom como cadena
Definir c Como Entero
Definir q1,q2,prom,sp,pg como real
c=0
sp=0
Escribir "Ingrese la asignatura"
leer as
Escribir "Ingrese un nombre"
Leer nom
Mientras nom <> " " hacer
Escribir "Ingrese la primera nota"
Leer q1
Escribir "Ingrese la segunda nota"
Leer q2
c=c+1
prom=(q1+q2)/2
sp=sp+prom
Fin Mientras
pg=sp/c
Escribir "el promedio general de ",c"estudiantes ",as,es,"pg
FinAlgoritmo
![](data:image/png;base64,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)
6._Calcular el salario de un grupo de trabajadores dada la cantidad de horas y la tarifa por cada una se solicita desplegar el salario que resive cad empleado
Algoritmo Salario
Definir h,t,a,c como cadena
Escribir "ingrese el numero de mepleados"
Leer c
Para a<-1+c Hasta c Con Paso 1 Hacer
vh=1,5
Escribir "ingrese un nombre"
Leer nom
Escribir "ingrese el numero de horas trabajadas"
Leer ht
vm=ht,xvh,x4
Escribir "su salario mensual es",vm
Fin Para
FinAlgoritmo
7._Escribir un programa para ingresar un dia de la semana y desplegar el mensaje dia laboral o dia de descanso
Algoritmo dias_de_la_semana
Definir d,s como cadena
Escribir "ingrese un dia de la cemana"
Leer d
s=mayuscula(d)
Si s="luneso" o s="martes" o s="miercoles" os="jueves" os="viernes" Entonces
Escribir "es un dia laborable"
Sino
Si s="sabado" o s="domingo" Entonces
Escribir "es un dia de descanso"
Sino
Escribir "no es un dia de la semana"
Fin Si
Fin Si
FinAlgoritmo
ed<-0
auxed<-0
Escribir 'ingresa la cantidad de personas'
leer n
Para I<-1 Hasta N Con Paso 1 Hacer
Escribir 'ingresa tu edad'
Leer ed
auxed <- auxed+ed
Fin Para
prom<-(auxed)/n
escribir 'el promedio de edad es:',prom
Esperar Tecla
FinFuncion
Funcion Edad_mayor(ed,N)
Escribir 'ESTE PROCESO ES PARA SABER SI ES MAYOR DE EDAD'
Escribir 'ingrese el año de nacimiento'
Leer A
Escribir 'diguite el año actual'
Leer a
ed<-A-a
Si ed>16 Entonces
EscribiR 'ES MAYOR DE EDAD'
Sino
Escribir 'ES MENOR DE EDAD'
Fin Si
Esperar Tecla
FinFuncion
Funcion Edad_menor(ed,N)
Escribir 'ESTE PROCESO ES PARA SABER SI ES MENOR DE EDAD'
Escribir 'ingrese el año de nacimiento'
Leer A
Escribir 'diguite el año actual'
Leer a
ed<-A-a
Si ed<-16 Entonces
EscribiR 'ES MENOR DE EDAD'
Sino
Escribir 'ES MAYOR DE EDAD'
Fin Si
Esperar Tecla
FinFuncion
SubProceso Menu(ed)
Definir opc Como Entero
Repetir
Limpiar Pantalla
Escribir 'opciones que puede seleccionar'
Escribir '1.edad promedio'
Escribir '2.edad mas alta'
Escribir '3.edad mas baja'
Escribir '4.fin'
Escribir 'elija una opcion'
Leer opc
Segun opc hacer
1:Promedio(ed,N)
2:Edad_mayor(ed,N)
3:Edad_menor(ed,N)
De Otro Modo:
Escribir 'error'
FinSegun
Hasta Que opc = 4
Esperar Tecla
FinSubProceso
Algoritmo OPERACIONES_BASICAS
Definir ed,N Como Entero
Para I<-1 Hasta N Con Paso 1 Hacer
Escribir 'INGRESE LA CANTIDAD DE PERSONAS'
Leer N
Escribir 'INGRESA TU EDAD'
leer ed
Fin Para
Menu(N)
FinAlgoritmo
Ejercisios con la descripcion mientras
4._Programa para calcular el promedio general del grupo en una asignatura
Algoritmo Promedio_notas
Definir as,nom como entero
Definir c Como Entero
Definir q1,q2,prom,sp,pg como real
c=0
prom=0
sp=0
leer as
Leer nom
Mientras nom < > entonces
Leer q1
Leer q2
c=c+1
prom=(q1+q2)
sp=sp+prom
Leer nom
Fin Mientras
pg=sp/c
Escribir "el proceso general de "s" estudiantes as es":pg
FinAlgoritmo
5._Programa con los datos del ejercisoio anterior el cual genera con las normas de los estudiantes que aprobaron y reprobaron
Algoritmo Promedio_notas
Definir as,nom como cadena
Definir c Como Entero
Definir q1,q2,prom,sp,pg como real
c=0
sp=0
Escribir "Ingrese la asignatura"
leer as
Escribir "Ingrese un nombre"
Leer nom
Mientras nom <> " " hacer
Escribir "Ingrese la primera nota"
Leer q1
Escribir "Ingrese la segunda nota"
Leer q2
c=c+1
prom=(q1+q2)/2
sp=sp+prom
Fin Mientras
pg=sp/c
Escribir "el promedio general de ",c"estudiantes ",as,es,"pg
FinAlgoritmo
6._Calcular el salario de un grupo de trabajadores dada la cantidad de horas y la tarifa por cada una se solicita desplegar el salario que resive cad empleado
Algoritmo Salario
Definir h,t,a,c como cadena
Escribir "ingrese el numero de mepleados"
Leer c
Para a<-1+c Hasta c Con Paso 1 Hacer
vh=1,5
Escribir "ingrese un nombre"
Leer nom
Escribir "ingrese el numero de horas trabajadas"
Leer ht
vm=ht,xvh,x4
Escribir "su salario mensual es",vm
Fin Para
FinAlgoritmo
7._Escribir un programa para ingresar un dia de la semana y desplegar el mensaje dia laboral o dia de descanso
Algoritmo dias_de_la_semana
Definir d,s como cadena
Escribir "ingrese un dia de la cemana"
Leer d
s=mayuscula(d)
Si s="luneso" o s="martes" o s="miercoles" os="jueves" os="viernes" Entonces
Escribir "es un dia laborable"
Sino
Si s="sabado" o s="domingo" Entonces
Escribir "es un dia de descanso"
Sino
Escribir "no es un dia de la semana"
Fin Si
Fin Si
FinAlgoritmo
Quiero saber como seleccionar que tecla presionar en la función "esperar tecla"
ResponderEliminarquisiera saber de un programa que, la recibir losmontos de compras mensules de cuatro departamentos de la factoria,
ResponderEliminarproporciones un menu y cuatro subprocesos
ResponderEliminarel 1°hallar las compras mensuales de la factria
ResponderEliminar2°optener el monto del departamento que optubo la mayor compra del mes de mayo.
3°hallar elmonto anual de compras
Ingresar 10 nombres, aplicando el comando mientras.
ResponderEliminar1 hacer un menú alimentos para animales perros ,gatos pajaros hamster
ResponderEliminar2 mostrar el precio de cada alimento
3mostrar el total de la compra del cliente